Coresets via Bilevel Optimization
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Updated
Nov 2, 2020 - Jupyter Notebook
Coresets via Bilevel Optimization
Bayesian Coresets Construction with Accelerated Iterative Hard Thresholding (A-IHT).
Speeding up clustering algorithms using Sampling techniques (Lightweight Coresets)
Geometrical Homogeneous Clustering for Image Data Reduction. An algorithm to reduce large image datasets maintaining similar accuracy.
This is the accompanying code repository for the AISTATS 2022 publication p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets by Alexander Munteanu, Simon Omlor and Christian Peters.
MECO: Multi-objective Evolutionary Compression
A research library for pytorch-based neural network pruning, compression, and more.
[ECCV 2022] The official repository of ''$\ell_\infty$-Robustness and Beyond: Unleashing Efficient Adversarial Training''.
Implementation of three variants of the Frank-Wolfe method for solving the Minimum Enclosing Ball problem, and application to anomaly detection.
BICO is a fast streaming algorithm to compute coresets for the k-means problem on very large sets of points.
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