Khisti, Ashish

11 publications

AISTATS 2024 Importance Matching Lemma for Lossy Compression with Side Information Buu Phan, Ashish Khisti, Christos Louizos

NeurIPS 2024 Minimum Entropy Coupling with Bottleneck M.Reza Ebrahimi, Jun Chen, Ashish Khisti

JMLR 2024 On the Generalization of Stochastic Gradient Descent with Momentum Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher, Ashish Khisti, Ben Liang

NeurIPS 2024 Random Cycle Coding: Lossless Compression of Cluster Assignments via Bits-Back Coding Daniel Severo, Ashish Khisti, Alireza Makhzani

NeurIPS 2023 On the Choice of Perception Loss Function for Learned Video Compression Sadaf Salehkalaibar, Truong Buu Phan, Jun Chen, Wei Yu, Ashish Khisti

ICML 2021 Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding Yangjun Ruan, Karen Ullrich, Daniel S Severo, James Townsend, Ashish Khisti, Arnaud Doucet, Alireza Makhzani, Chris Maddison

NeurIPS 2021 Universal Rate-Distortion-Perception Representations for Lossy Compression George Zhang, Jingjing Qian, Jun Chen, Ashish Khisti

NeurIPS 2021 Variational Model Inversion Attacks Kuan-Chieh Wang, Yan Fu, Ke Li, Ashish Khisti, Richard S. Zemel, Alireza Makhzani

NeurIPS 2020 Coded Sequential Matrix Multiplication for Straggler Mitigation Nikhil Krishnan Muralee Krishnan, Seyederfan Hosseini, Ashish Khisti

NeurIPS 2020 Sharpened Generalization Bounds Based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms Mahdi Haghifam, Jeffrey Negrea, Ashish Khisti, Daniel M. Roy, Gintare Karolina Dziugaite

NeurIPS 2019 Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates Jeffrey Negrea, Mahdi Haghifam, Gintare Karolina Dziugaite, Ashish Khisti, Daniel M. Roy