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Aviv Tamar, Yinlam Chow, Mohammad Ghavamzadeh, Shie Mannor. "Policy Gradient for Coherent Risk Measures" | [Home Page] | [PDF]
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Miguel A. Carreira-Perpinan, Max Vladymyrov. "A fast, universal algorithm to learn parametric nonlinear embeddings" | [Home Page] | [PDF]
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Tian Lin, Jian Li, Wei Chen. "Stochastic Online Greedy Learning with Semi-bandit Feedbacks" | [Home Page] | [PDF]
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Qing Sun, Dhruv Batra. "SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals" | [Home Page] | [PDF]
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Maksim Lapin, Matthias Hein, Bernt Schiele. "Top-k Multiclass SVM" | [Home Page] | [PDF]
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Alessandro Rudi, Raffaello Camoriano, Lorenzo Rosasco. "Less is More: Nyström Computational Regularization" | [Home Page] | [PDF]
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Yining Wang, Yu-Xiang Wang, Aarti Singh. "Differentially private subspace clustering" | [Home Page] | [PDF]
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Kai-Yang Chiang, Cho-Jui Hsieh, Inderjit S. Dhillon. "Matrix Completion with Noisy Side Information" | [Home Page] | [PDF]
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Kirthevasan Kandasamy, Akshay Krishnamurthy, Barnabas Poczos, Larry Wasserman, james m. robins. "Nonparametric von Mises Estimators for Entropies, Divergences and Mutual Informations" | [Home Page] | [PDF]
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Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gael Varoquaux. "Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data" | [Home Page] | [PDF]
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Xingjian SHI, Zhourong Chen, Hao Wang, Dit-Yan Yeung, Wai-kin Wong, Wang-chun WOO. "Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting" | [Home Page] | [PDF]
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Isabel Valera, Francisco Ruiz, Lennart Svensson, Fernando Perez-Cruz. "Infinite Factorial Dynamical Model" | [Home Page] | [PDF]
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Scott Linderman, Matthew J. Johnson, Ryan P. Adams. "Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation" | [Home Page] | [PDF]
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Ian En-Hsu Yen, Kai Zhong, Cho-Jui Hsieh, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Sparse Linear Programming via Primal and Dual Augmented Coordinate Descent" | [Home Page] | [PDF]
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Philip Bachman, Doina Precup. "Data Generation as Sequential Decision Making" | [Home Page] | [PDF]
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Rahul G. Krishnan, Simon Lacoste-Julien, David Sontag. "Barrier Frank-Wolfe for Marginal Inference" | [Home Page] | [PDF]
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Kenji Kawaguchi, Leslie Pack Kaelbling, Tomás Lozano-Pérez. "Bayesian Optimization with Exponential Convergence" | [Home Page] | [PDF]
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James R. Lloyd, Zoubin Ghahramani. "Statistical Model Criticism using Kernel Two Sample Tests" | [Home Page] | [PDF]
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Jan K. Chorowski, Dzmitry Bahdanau, Dmitriy Serdyuk, Kyunghyun Cho, Yoshua Bengio. "Attention-Based Models for Speech Recognition" | [Home Page] | [PDF]
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Jimei Yang, Scott E. Reed, Ming-Hsuan Yang, Honglak Lee. "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis" | [Home Page] | [PDF]
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Steve K. Esser, Rathinakumar Appuswamy, Paul Merolla, John V. Arthur, Dharmendra S. Modha. "Backpropagation for Energy-Efficient Neuromorphic Computing" | [Home Page] | [PDF]
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Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Springenberg, Manuel Blum, Frank Hutter. "Efficient and Robust Automated Machine Learning" | [Home Page] | [PDF]
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Nan Du, Yichen Wang, Niao He, Jimeng Sun, Le Song. "Time-Sensitive Recommendation From Recurrent User Activities" | [Home Page] | [PDF]
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Michalis Titsias RC AUEB, Miguel Lázaro-Gredilla. "Local Expectation Gradients for Black Box Variational Inference" | [Home Page] | [PDF]
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Marylou Gabrie, Eric W. Tramel, Florent Krzakala. "Training Restricted Boltzmann Machine via the Thouless-Anderson-Palmer free energy" | [Home Page] | [PDF]
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Zhaoran Wang, Quanquan Gu, Yang Ning, Han Liu. "High Dimensional EM Algorithm: Statistical Optimization and Asymptotic Normality" | [Home Page] | [PDF]
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Nicolas Heess, Gregory Wayne, David Silver, Timothy Lillicrap, Tom Erez, Yuval Tassa. "Learning Continuous Control Policies by Stochastic Value Gradients" | [Home Page] | [PDF]
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Shaoqing Ren, Kaiming He, Ross Girshick, Jian Sun. "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" | [Home Page] | [PDF]
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Mohammad Norouzi, Maxwell Collins, Matthew A. Johnson, David J. Fleet, Pushmeet Kohli. "Efficient Non-greedy Optimization of Decision Trees" | [Home Page] | [PDF]
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Lorenzo Rosasco, Silvia Villa. "Learning with Incremental Iterative Regularization" | [Home Page] | [PDF]
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Justin Domke. "Maximum Likelihood Learning With Arbitrary Treewidth via Fast-Mixing Parameter Sets" | [Home Page] | [PDF]
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Alkis Gotovos, Hamed Hassani, Andreas Krause. "Sampling from Probabilistic Submodular Models" | [Home Page] | [PDF]
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Yali Wan, Marina Meila. "A class of network models recoverable by spectral clustering" | [Home Page] | [PDF]
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Eunho Yang, Aurelie C. Lozano, Pradeep K. Ravikumar. "Closed-form Estimators for High-dimensional Generalized Linear Models" | [Home Page] | [PDF]
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Cesc C. Park, Gunhee Kim. "Expressing an Image Stream with a Sequence of Natural Sentences" | [Home Page] | [PDF]
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Jean-Baptiste SCHIRATTI, Stéphanie ALLASSONNIERE, Olivier Colliot, Stanley DURRLEMAN. "Learning spatiotemporal trajectories from manifold-valued longitudinal data" | [Home Page] | [PDF]
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Tianyang Li, Adarsh Prasad, Pradeep K. Ravikumar. "Fast Classification Rates for High-dimensional Gaussian Generative Models" | [Home Page] | [PDF]
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Dylan J. Foster, Alexander Rakhlin, Karthik Sridharan. "Adaptive Online Learning" | [Home Page] | [PDF]
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Kush Bhatia, Prateek Jain, Purushottam Kar. "Robust Regression via Hard Thresholding" | [Home Page] | [PDF]
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Martin Slawski, Ping Li. "b-bit Marginal Regression" | [Home Page] | [PDF]
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Rakesh Shivanna, Bibaswan K. Chatterjee, Raman Sankaran, Chiranjib Bhattacharyya, Francis Bach. "Spectral Norm Regularization of Orthonormal Representations for Graph Transduction" | [Home Page] | [PDF]
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Cameron Musco, Christopher Musco. "Randomized Block Krylov Methods for Stronger and Faster Approximate Singular Value Decomposition" | [Home Page] | [PDF]
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Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath. "Optimal Testing for Properties of Distributions" | [Home Page] | [PDF]
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Ye Wang, David B. Dunson. "Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process" | [Home Page] | [PDF]
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Rupesh K. Srivastava, Klaus Greff, Jürgen Schmidhuber. "Training Very Deep Networks" | [Home Page] | [PDF]
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Se-Young Yun, marc lelarge, Alexandre Proutiere. "Fast and Memory Optimal Low-Rank Matrix Approximation" | [Home Page] | [PDF]
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Xiang Zhang, Junbo Zhao, Yann LeCun. "Character-level Convolutional Networks for Text Classification" | [Home Page] | [PDF]
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Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel V. Todorov. "Interactive Control of Diverse Complex Characters with Neural Networks" | [Home Page] | [PDF]
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Armand Joulin, Tomas Mikolov. "Inferring Algorithmic Patterns with Stack-Augmented Recurrent Nets" | [Home Page] | [PDF]
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Oriol Vinyals, Łukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey Hinton. "Grammar as a Foreign Language" | [Home Page] | [PDF]
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Alexandr Andoni, Piotr Indyk, Thijs Laarhoven, Ilya Razenshteyn, Ludwig Schmidt. "Practical and Optimal LSH for Angular Distance" | [Home Page] | [PDF]
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Kyle R. Ulrich, David E. Carlson, Kafui Dzirasa, Lawrence Carin. "GP Kernels for Cross-Spectrum Analysis" | [Home Page] | [PDF]
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Peter Schulam, Suchi Saria. "A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure" | [Home Page] | [PDF]
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Daniel Vainsencher, Han Liu, Tong Zhang. "Local Smoothness in Variance Reduced Optimization" | [Home Page] | [PDF]
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Mijung Park, Gergo Bohner, Jakob H. Macke. "Unlocking neural population non-stationarities using hierarchical dynamics models" | [Home Page] | [PDF]
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Oriol Vinyals, Meire Fortunato, Navdeep Jaitly. "Pointer Networks" | [Home Page] | [PDF]
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Lucas Maystre, Matthias Grossglauser. "Fast and Accurate Inference of Plackett–Luce Models" | [Home Page] | [PDF]
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Mauro Scanagatta, Cassio P. de Campos, Giorgio Corani, Marco Zaffalon. "Learning Bayesian Networks with Thousands of Variables" | [Home Page] | [PDF]
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Ilias Diakonikolas, Moritz Hardt, Ludwig Schmidt. "Differentially Private Learning of Structured Discrete Distributions" | [Home Page] | [PDF]
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Lucas Theis, Matthias Bethge. "Generative Image Modeling Using Spatial LSTMs" | [Home Page] | [PDF]
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Megasthenis Asteris, Dimitris Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis. "Sparse PCA via Bipartite Matchings" | [Home Page] | [PDF]
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Mithun Chakraborty, Sanmay Das. "Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents" | [Home Page] | [PDF]
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Happy Mittal, Anuj Mahajan, Vibhav G. Gogate, Parag Singla. "Lifted Inference Rules With Constraints" | [Home Page] | [PDF]
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CHRISTOS THRAMPOULIDIS, Ehsan Abbasi, Babak Hassibi. "LASSO with Non-linear Measurements is Equivalent to One With Linear Measurements" | [Home Page] | [PDF]
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Guillaume Desjardins, Karen Simonyan, Razvan Pascanu, koray kavukcuoglu. "Natural Neural Networks" | [Home Page] | [PDF]
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Michael C. Hughes, William T. Stephenson, Erik Sudderth. "Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models" | [Home Page] | [PDF]
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Rémi Bardenet, Michalis Titsias RC AUEB. "Inference for determinantal point processes without spectral knowledge" | [Home Page] | [PDF]
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Koosha Khalvati, Rajesh PN Rao. "A Bayesian Framework for Modeling Confidence in Perceptual Decision Making" | [Home Page] | [PDF]
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Christoph Dann, Emma Brunskill. "Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning" | [Home Page] | [PDF]
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Huasen Wu, R. Srikant, Xin Liu, Chong Jiang. "Algorithms with Logarithmic or Sublinear Regret for Constrained Contextual Bandits" | [Home Page] | [PDF]
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Mingjun Zhong, Nigel Goddard, Charles Sutton. "Latent Bayesian melding for integrating individual and population models" | [Home Page] | [PDF]
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Michaël Perrot, Amaury Habrard. "Regressive Virtual Metric Learning" | [Home Page] | [PDF]
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Mahito Sugiyama, Karsten Borgwardt. "Halting in Random Walk Kernels" | [Home Page] | [PDF]
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Mohammad Emtiyaz E. Khan, Pierre Baque, François Fleuret, Pascal Fua. "Kullback-Leibler Proximal Variational Inference" | [Home Page] | [PDF]
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Qinqing Zheng, John Lafferty. "A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements" | [Home Page] | [PDF]
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Keenon Werling, Arun Tejasvi Chaganty, Percy S. Liang, Christopher D. Manning. "On-the-Job Learning with Bayesian Decision Theory" | [Home Page] | [PDF]
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Peter Flach, Meelis Kull. "Precision-Recall-Gain Curves: PR Analysis Done Right" | [Home Page] | [PDF]
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Julian E. Yarkony, Charless Fowlkes. "Planar Ultrametrics for Image Segmentation" | [Home Page] | [PDF]
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Kush Bhatia, Himanshu Jain, Purushottam Kar, Manik Varma, Prateek Jain. "Sparse Local Embeddings for Extreme Multi-label Classification" | [Home Page] | [PDF]
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Qingqing Huang, Sham M. Kakade. "Super-Resolution Off the Grid" | [Home Page] | [PDF]
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Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, David Blei. "Automatic Variational Inference in Stan" | [Home Page] | [PDF]
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Juho Lee, Seungjin Choi. "Tree-Guided MCMC Inference for Normalized Random Measure Mixture Models" | [Home Page] | [PDF]
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Adith Swaminathan, Thorsten Joachims. "The Self-Normalized Estimator for Counterfactual Learning" | [Home Page] | [PDF]
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Yaron Singer, Jan Vondrak. "Information-theoretic lower bounds for convex optimization with erroneous oracles" | [Home Page] | [PDF]
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Tuo Zhao, Zhaoran Wang, Han Liu. "A Nonconvex Optimization Framework for Low Rank Matrix Estimation" | [Home Page] | [PDF]
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Amir Dezfouli, Edwin V. Bonilla. "Scalable Inference for Gaussian Process Models with Black-Box Likelihoods" | [Home Page] | [PDF]
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Jason Hartline, Vasilis Syrgkanis, Eva Tardos. "No-Regret Learning in Bayesian Games" | [Home Page] | [PDF]
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Eunho Yang, Aurelie C. Lozano. "Robust Gaussian Graphical Modeling with the Trimmed Graphical Lasso" | [Home Page] | [PDF]
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Xiangyu Wang, Fangjian Guo, Katherine A. Heller, David B. Dunson. "Parallelizing MCMC with Random Partition Trees" | [Home Page] | [PDF]
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Murat A. Erdogdu, Andrea Montanari. "Convergence rates of sub-sampled Newton methods" | [Home Page] | [PDF]
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Vitaly Kuznetsov, Mehryar Mohri. "Learning Theory and Algorithms for Forecasting Non-stationary Time Series" | [Home Page] | [PDF]
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Xinyang Yi, Zhaoran Wang, Constantine Caramanis, Han Liu. "Optimal Linear Estimation under Unknown Nonlinear Transform" | [Home Page] | [PDF]
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Huishuai Zhang, Yi Zhou, Yingbin Liang. "Analysis of Robust PCA via Local Incoherence" | [Home Page] | [PDF]
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Qiang Liu, John W. Fisher III, Alexander T. Ihler. "Probabilistic Variational Bounds for Graphical Models" | [Home Page] | [PDF]
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Andrew G. Wilson, Christoph Dann, Chris Lucas, Eric P. Xing. "The Human Kernel" | [Home Page] | [PDF]
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Xiangru Lian, Yijun Huang, Yuncheng Li, Ji Liu. "Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization" | [Home Page] | [PDF]
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Jason D. Lee, Yuekai Sun, Jonathan E. Taylor. "Evaluating the statistical significance of biclusters" | [Home Page] | [PDF]
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Yining Wang, Hsiao-Yu Tung, Alexander J. Smola, Anima Anandkumar. "Fast and Guaranteed Tensor Decomposition via Sketching" | [Home Page] | [PDF]
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Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet. "Inverse Reinforcement Learning with Locally Consistent Reward Functions" | [Home Page] | [PDF]
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Maria Lomeli, Stefano Favaro, Yee Whye Teh. "A hybrid sampler for Poisson-Kingman mixture models" | [Home Page] | [PDF]
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Jacob Andreas, Maxim Rabinovich, Michael I. Jordan, Dan Klein. "On the Accuracy of Self-Normalized Log-Linear Models" | [Home Page] | [PDF]
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Ryan J. Giordano, Tamara Broderick, Michael I. Jordan. "Linear Response Methods for Accurate Covariance Estimates from Mean Field Variational Bayes" | [Home Page] | [PDF]
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Moontae Lee, David Bindel, David Mimno. "Robust Spectral Inference for Joint Stochastic Matrix Factorization" | [Home Page] | [PDF]
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Ofer Dekel, Ronen Eldan, Tomer Koren. "Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff" | [Home Page] | [PDF]
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Dinesh Ramasamy, Upamanyu Madhow. "Compressive spectral embedding: sidestepping the SVD" | [Home Page] | [PDF]
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Alireza Makhzani, Brendan J. Frey. "Winner-Take-All Autoencoders" | [Home Page] | [PDF]
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Volodymyr Kuleshov, Percy S. Liang. "Calibrated Structured Prediction" | [Home Page] | [PDF]
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Oren Rippel, Jasper Snoek, Ryan P. Adams. "Spectral Representations for Convolutional Neural Networks" | [Home Page] | [PDF]
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Xiangyu Wang, Chenlei Leng, David B. Dunson. "On the consistency theory of high dimensional variable screening" | [Home Page] | [PDF]
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Mehryar Mohri, Andres Munoz. "Revenue Optimization against Strategic Buyers" | [Home Page] | [PDF]
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Dan Rosenbaum, Yair Weiss. "The Return of the Gating Network: Combining Generative Models and Discriminative Training in Natural Image Priors" | [Home Page] | [PDF]
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Jacob D. Abernethy, Chansoo Lee, Ambuj Tewari. "Fighting Bandits with a New Kind of Smoothness" | [Home Page] | [PDF]
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Parikshit Shah, Nikhil Rao, Gongguo Tang. "Sparse and Low-Rank Tensor Decomposition" | [Home Page] | [PDF]
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Bhaswar Bhattacharya, Gregory Valiant. "Testing Closeness With Unequal Sized Samples" | [Home Page] | [PDF]
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Yinlam Chow, Aviv Tamar, Shie Mannor, Marco Pavone. "Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach" | [Home Page] | [PDF]
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Somdeb Sarkhel, Parag Singla, Vibhav G. Gogate. "Fast Lifted MAP Inference via Partitioning" | [Home Page] | [PDF]
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Ibrahim M. Alabdulmohsin. "Algorithmic Stability and Uniform Generalization" | [Home Page] | [PDF]
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Youssef Mroueh, Stephen Voinea, Tomaso A. Poggio. "Learning with Group Invariant Features: A Kernel Perspective." | [Home Page] | [PDF]
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Janne H. Korhonen, Pekka Parviainen. "Tractable Bayesian Network Structure Learning with Bounded Vertex Cover Number" | [Home Page] | [PDF]
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Rafael Frongillo, Mark D. Reid. "Convergence Analysis of Prediction Markets via Randomized Subspace Descent" | [Home Page] | [PDF]
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Jie Wang, Jieping Ye. "Multi-Layer Feature Reduction for Tree Structured Group Lasso via Hierarchical Projection" | [Home Page] | [PDF]
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Alexander Novikov, Dmitrii Podoprikhin, Anton Osokin, Dmitry P. Vetrov. "Tensorizing Neural Networks" | [Home Page] | [PDF]
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Pranjal Awasthi, Andrej Risteski. "On some provably correct cases of variational inference for topic models" | [Home Page] | [PDF]
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Eugene Ndiaye, Olivier Fercoq, Alexandre Gramfort, Joseph Salmon. "GAP Safe screening rules for sparse multi-task and multi-class models" | [Home Page] | [PDF]
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Tor Lattimore. "The Pareto Regret Frontier for Bandits" | [Home Page] | [PDF]
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Jackson Gorham, Lester Mackey. "Measuring Sample Quality with Stein's Method" | [Home Page] | [PDF]
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Prateek Jain, Nagarajan Natarajan, Ambuj Tewari. "Predtron: A Family of Online Algorithms for General Prediction Problems" | [Home Page] | [PDF]
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James Hensman, Alexander G. Matthews, Maurizio Filippone, Zoubin Ghahramani. "MCMC for Variationally Sparse Gaussian Processes" | [Home Page] | [PDF]
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Qinqing Zheng, Ryota Tomioka. "Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm" | [Home Page] | [PDF]
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Jonathan Vacher, Andrew Isaac Meso, Laurent U. Perrinet, Gabriel Peyré. "Biologically Inspired Dynamic Textures for Probing Motion Perception" | [Home Page] | [PDF]
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Xiaocheng Shang, Zhanxing Zhu, Benedict Leimkuhler, Amos J. Storkey. "Covariance-Controlled Adaptive Langevin Thermostat for Large-Scale Bayesian Sampling" | [Home Page] | [PDF]
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Andrew M. Dai, Quoc V. Le. "Semi-supervised Sequence Learning" | [Home Page] | [PDF]
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Wei Sun, Zhaoran Wang, Han Liu, Guang Cheng. "Non-convex Statistical Optimization for Sparse Tensor Graphical Model" | [Home Page] | [PDF]
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Timothy Kopp, Parag Singla, Henry Kautz. "Lifted Symmetry Detection and Breaking for MAP Inference" | [Home Page] | [PDF]
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Christian Borgs, Jennifer Chayes, Adam Smith. "Private Graphon Estimation for Sparse Graphs" | [Home Page] | [PDF]
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Kent Quanrud, Daniel Khashabi. "Online Learning with Adversarial Delays" | [Home Page] | [PDF]
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Yuxin Chen, Emmanuel Candes. "Solving Random Quadratic Systems of Equations Is Nearly as Easy as Solving Linear Systems" | [Home Page] | [PDF]
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Bo Xie, Yingyu Liang, Le Song. "Scale Up Nonlinear Component Analysis with Doubly Stochastic Gradients" | [Home Page] | [PDF]
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Bo Waggoner, Rafael Frongillo, Jacob D. Abernethy. "A Market Framework for Eliciting Private Data" | [Home Page] | [PDF]
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Ke Sun, Jun Wang, Alexandros Kalousis, Stephane Marchand-Maillet. "Space-Time Local Embeddings" | [Home Page] | [PDF]
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Daniel J. Hsu, Aryeh Kontorovich, Csaba Szepesvari. "Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path" | [Home Page] | [PDF]
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Pascal Vincent, Alexandre de Brébisson, Xavier Bouthillier. "Efficient Exact Gradient Update for training Deep Networks with Very Large Sparse Targets" | [Home Page] | [PDF]
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Maren Mahsereci, Philipp Hennig. "Probabilistic Line Searches for Stochastic Optimization" | [Home Page] | [PDF]
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Been Kim, Julie A. Shah, Finale Doshi-Velez. "Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction" | [Home Page] | [PDF]
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Hadi Mohasel Afshar, Justin Domke. "Reflection, Refraction, and Hamiltonian Monte Carlo" | [Home Page] | [PDF]
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Mengye Ren, Ryan Kiros, Richard Zemel. "Exploring Models and Data for Image Question Answering" | [Home Page] | [PDF]
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Siqi Sun, Mladen Kolar, Jinbo Xu. "Learning structured densities via infinite dimensional exponential families" | [Home Page] | [PDF]
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Dan Alistarh, Jennifer Iglesias, Milan Vojnovic. "Streaming Min-max Hypergraph Partitioning" | [Home Page] | [PDF]
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Jonas W. Mueller, Tommi Jaakkola. "Principal Differences Analysis: Interpretable Characterization of Differences between Distributions" | [Home Page] | [PDF]
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Xiao Li, Kannan Ramchandran. "An Active Learning Framework using Sparse-Graph Codes for Sparse Polynomials and Graph Sketching" | [Home Page] | [PDF]
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Vikas Sindhwani, Tara Sainath, Sanjiv Kumar. "Structured Transforms for Small-Footprint Deep Learning" | [Home Page] | [PDF]
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Tor Lattimore, Koby Crammer, Csaba Szepesvari. "Linear Multi-Resource Allocation with Semi-Bandit Feedback" | [Home Page] | [PDF]
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Weiwei Liu, Ivor Tsang. "On the Optimality of Classifier Chain for Multi-label Classification" | [Home Page] | [PDF]
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Oluwasanmi O. Koyejo, Nagarajan Natarajan, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Consistent Multilabel Classification" | [Home Page] | [PDF]
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Kevin G. Jamieson, Lalit Jain, Chris Fernandez, Nicholas J. Glattard, Rob Nowak. "NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning" | [Home Page] | [PDF]
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Kihyuk Sohn, Honglak Lee, Xinchen Yan. "Learning Structured Output Representation using Deep Conditional Generative Models" | [Home Page] | [PDF]
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Sida Wang, Arun Tejasvi Chaganty, Percy S. Liang. "Estimating Mixture Models via Mixtures of Polynomials" | [Home Page] | [PDF]
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Yifan Wu, András György, Csaba Szepesvari. "Online Learning with Gaussian Payoffs and Side Observations" | [Home Page] | [PDF]
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Felipe Tobar, Thang D. Bui, Richard E. Turner. "Learning Stationary Time Series using Gaussian Processes with Nonparametric Kernels" | [Home Page] | [PDF]
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Marin Kobilarov. "Sample Complexity Bounds for Iterative Stochastic Policy Optimization" | [Home Page] | [PDF]
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Masrour Zoghi, Zohar S. Karnin, Shimon Whiteson, Maarten de Rijke. "Copeland Dueling Bandits" | [Home Page] | [PDF]
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Yuanjun Gao, Lars Busing, Krishna V. Shenoy, John P. Cunningham. "High-dimensional neural spike train analysis with generalized count linear dynamical systems" | [Home Page] | [PDF]
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Murat A. Erdogdu. "Newton-Stein Method: A Second Order Method for GLMs via Stein's Lemma" | [Home Page] | [PDF]
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Ariel D. Procaccia, Nisarg Shah. "Is Approval Voting Optimal Given Approval Votes?" | [Home Page] | [PDF]
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Wenye Li. "Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach" | [Home Page] | [PDF]
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Rie Johnson, Tong Zhang. "Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding" | [Home Page] | [PDF]
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Song Han, Jeff Pool, John Tran, William Dally. "Learning both Weights and Connections for Efficient Neural Network" | [Home Page] | [PDF]
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Niao He, Zaid Harchaoui. "Semi-Proximal Mirror-Prox for Nonsmooth Composite Minimization" | [Home Page] | [PDF]
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Durk P. Kingma, Tim Salimans, Max Welling. "Variational Dropout and the Local Reparameterization Trick" | [Home Page] | [PDF]
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Sung-Soo Ahn, Sejun Park, Michael Chertkov, Jinwoo Shin. "Minimum Weight Perfect Matching via Blossom Belief Propagation" | [Home Page] | [PDF]
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Kwang-Sung Jun, Jerry Zhu, Timothy T. Rogers, Zhuoran Yang, ming yuan. "Human Memory Search as Initial-Visit Emitting Random Walk" | [Home Page] | [PDF]
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David B. Smith, Vibhav G. Gogate. "Bounding the Cost of Search-Based Lifted Inference" | [Home Page] | [PDF]
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Kai Wei, Rishabh K. Iyer, Shengjie Wang, Wenruo Bai, Jeff A. Bilmes. "Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications" | [Home Page] | [PDF]
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John Schulman, Nicolas Heess, Theophane Weber, Pieter Abbeel. "Gradient Estimation Using Stochastic Computation Graphs" | [Home Page] | [PDF]
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Djork-Arné Clevert, Andreas Mayr, Thomas Unterthiner, Sepp Hochreiter. "Rectified Factor Networks" | [Home Page] | [PDF]
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Zhan Wei Lim, David Hsu, Wee Sun Lee. "Adaptive Stochastic Optimization: From Sets to Paths" | [Home Page] | [PDF]
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Alp Yurtsever, Quoc Tran Dinh, Volkan Cevher. "A Universal Primal-Dual Convex Optimization Framework" | [Home Page] | [PDF]
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Hong Wang, Wei Xing, Kaiser Asif, Brian Ziebart. "Adversarial Prediction Games for Multivariate Losses" | [Home Page] | [PDF]
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Shakir Mohamed, Danilo Jimenez Rezende. "Variational Information Maximisation for Intrinsically Motivated Reinforcement Learning" | [Home Page] | [PDF]
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Scott E. Reed, Yi Zhang, Yuting Zhang, Honglak Lee. "Deep Visual Analogy-Making" | [Home Page] | [PDF]
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Sergey Plis, David Danks, Cynthia Freeman, Vince Calhoun. "Rate-Agnostic (Causal) Structure Learning" | [Home Page] | [PDF]
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Sheng Chen, Arindam Banerjee. "Structured Estimation with Atomic Norms: General Bounds and Applications" | [Home Page] | [PDF]
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Anna E. Choromanska, John Langford. "Logarithmic Time Online Multiclass prediction" | [Home Page] | [PDF]
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Dustin Tran, David Blei, Edo M. Airoldi. "Copula variational inference" | [Home Page] | [PDF]
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Dane S. Corneil, Wulfram Gerstner. "Attractor Network Dynamics Enable Preplay and Rapid Path Planning in Maze–like Environments" | [Home Page] | [PDF]
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Nicholas Ruozzi. "Exactness of Approximate MAP Inference in Continuous MRFs" | [Home Page] | [PDF]
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Gergely Neu. "Explore no more: Improved high-probability regret bounds for non-stochastic bandits" | [Home Page] | [PDF]
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Chao Qu, Huan Xu. "Subspace Clustering with Irrelevant Features via Robust Dantzig Selector" | [Home Page] | [PDF]
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Maxim Rabinovich, Elaine Angelino, Michael I. Jordan. "Variational Consensus Monte Carlo" | [Home Page] | [PDF]
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Samy Bengio, Oriol Vinyals, Navdeep Jaitly, Noam Shazeer. "Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks" | [Home Page] | [PDF]
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Behnam Neyshabur, Russ R. Salakhutdinov, Nati Srebro. "Path-SGD: Path-Normalized Optimization in Deep Neural Networks" | [Home Page] | [PDF]
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Megasthenis Asteris, Dimitris Papailiopoulos, Alexandros G. Dimakis. "Orthogonal NMF through Subspace Exploration" | [Home Page] | [PDF]
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Shuang Li, Yao Xie, Hanjun Dai, Le Song. "M-Statistic for Kernel Change-Point Detection" | [Home Page] | [PDF]
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Chicheng Zhang, Kamalika Chaudhuri. "Active Learning from Weak and Strong Labelers" | [Home Page] | [PDF]
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Tengyu Ma, Avi Wigderson. "Sum-of-Squares Lower Bounds for Sparse PCA" | [Home Page] | [PDF]
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Adria Recasens, Aditya Khosla, Carl Vondrick, Antonio Torralba. "Where are they looking?" | [Home Page] | [PDF]
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Mathew Monfort, Brenden M. Lake, Brenden M. Lake, Brian Ziebart, Patrick Lucey, Josh Tenenbaum. "Softstar: Heuristic-Guided Probabilistic Inference" | [Home Page] | [PDF]
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Siddhartha Banerjee, Peter Lofgren. "Fast Bidirectional Probability Estimation in Markov Models" | [Home Page] | [PDF]
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Ross Goroshin, Michael F. Mathieu, Yann LeCun. "Learning to Linearize Under Uncertainty" | [Home Page] | [PDF]
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Thomas Hofmann, Aurelien Lucchi, Simon Lacoste-Julien, Brian McWilliams. "Variance Reduced Stochastic Gradient Descent with Neighbors" | [Home Page] | [PDF]
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Rafael Frongillo, Ian Kash. "On Elicitation Complexity" | [Home Page] | [PDF]
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Jacob Steinhardt, Percy S. Liang. "Learning with Relaxed Supervision" | [Home Page] | [PDF]
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Ravi Sastry Ganti, Laura Balzano, Rebecca Willett. "Matrix Completion Under Monotonic Single Index Models" | [Home Page] | [PDF]
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Vivien Seguy, Marco Cuturi. "Principal Geodesic Analysis for Probability Measures under the Optimal Transport Metric" | [Home Page] | [PDF]
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Pinghua Gong, Jieping Ye. "HONOR: Hybrid Optimization for NOn-convex Regularized problems" | [Home Page] | [PDF]
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Mingyuan Zhou, Yulai Cong, Bo Chen. "The Poisson Gamma Belief Network" | [Home Page] | [PDF]
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David I. Inouye, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Fixed-Length Poisson MRF: Adding Dependencies to the Multinomial" | [Home Page] | [PDF]
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Yingzhen Li, José Miguel Hernández-Lobato, Richard E. Turner. "Stochastic Expectation Propagation" | [Home Page] | [PDF]
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Vidyashankar Sivakumar, Arindam Banerjee, Pradeep K. Ravikumar. "Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs" | [Home Page] | [PDF]
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Ahmed Alaoui, Michael W. Mahoney. "Fast Randomized Kernel Ridge Regression with Statistical Guarantees" | [Home Page] | [PDF]
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Ryan Kiros, Yukun Zhu, Russ R. Salakhutdinov, Richard Zemel, Raquel Urtasun, Antonio Torralba, Sanja Fidler. "Skip-Thought Vectors" | [Home Page] | [PDF]
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Nikhil Rao, Hsiang-Fu Yu, Pradeep K. Ravikumar, Inderjit S. Dhillon. "Collaborative Filtering with Graph Information: Consistency and Scalable Methods" | [Home Page] | [PDF]
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David Moore, Stuart J. Russell. "Gaussian Process Random Fields" | [Home Page] | [PDF]
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Seunghoon Hong, Hyeonwoo Noh, Bohyung Han. "Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation" | [Home Page] | [PDF]
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Meisam Razaviyayn, Farzan Farnia, David Tse. "Discrete Rényi Classifiers" | [Home Page] | [PDF]
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David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher. "Preconditioned Spectral Descent for Deep Learning" | [Home Page] | [PDF]
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Walid Krichene, Alexandre Bayen, Peter L. Bartlett. "Accelerated Mirror Descent in Continuous and Discrete Time" | [Home Page] | [PDF]
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Huan Li, Zhouchen Lin. "Accelerated Proximal Gradient Methods for Nonconvex Programming" | [Home Page] | [PDF]
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Naoto Ohsaka, Yuichi Yoshida. "Monotone k-Submodular Function Maximization with Size Constraints" | [Home Page] | [PDF]
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Jeffrey Pennington, Felix Xinnan X. Yu, Sanjiv Kumar. "Spherical Random Features for Polynomial Kernels" | [Home Page] | [PDF]
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Ian En-Hsu Yen, Shan-Wei Lin, Shou-De Lin. "A Dual Augmented Block Minimization Framework for Learning with Limited Memory" | [Home Page] | [PDF]
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David K. Duvenaud, Dougal Maclaurin, Jorge Iparraguirre, Rafael Bombarell, Timothy Hirzel, Alan Aspuru-Guzik, Ryan P. Adams. "Convolutional Networks on Graphs for Learning Molecular Fingerprints" | [Home Page] | [PDF]
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Wei Ping, Qiang Liu, Alexander T. Ihler. "Decomposition Bounds for Marginal MAP" | [Home Page] | [PDF]
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Sebastian Bitzer, Stefan Kiebel. "The Brain Uses Reliability of Stimulus Information when Making Perceptual Decisions" | [Home Page] | [PDF]
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Haoyuan Gao, Junhua Mao, Jie Zhou, Zhiheng Huang, Lei Wang, Wei Xu. "Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question" | [Home Page] | [PDF]
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Jamie H. Morgenstern, Tim Roughgarden. "On the Pseudo-Dimension of Nearly Optimal Auctions" | [Home Page] | [PDF]
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Kai Fan, Ziteng Wang, Jeff Beck, James Kwok, Katherine A. Heller. "Fast Second Order Stochastic Backpropagation for Variational Inference" | [Home Page] | [PDF]
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Yuya Yoshikawa, Tomoharu Iwata, Hiroshi Sawada, Takeshi Yamada. "Cross-Domain Matching for Bag-of-Words Data via Kernel Embeddings of Latent Distributions" | [Home Page] | [PDF]
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Gunwoong Park, Garvesh Raskutti. "Learning Large-Scale Poisson DAG Models based on OverDispersion Scoring" | [Home Page] | [PDF]
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Tian Gao, Qiang Ji. "Local Causal Discovery of Direct Causes and Effects" | [Home Page] | [PDF]
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Emile Richard, Georges A. Goetz, E.J. Chichilnisky. "Recognizing retinal ganglion cells in the dark" | [Home Page] | [PDF]