Weissman, Tsachy

20 publications

NeurIPS 2025 ItDPDM: Information-Theoretic Discrete Poisson Diffusion Model Sagnik Bhattacharya, Abhiram Rao Gorle, Ahsan Bilal, Connor Ding, Amit Kumar Singh Yadav, Tsachy Weissman

NeurIPS 2025 Win Fast or Lose Slow: Balancing Speed and Accuracy in Latency-Sensitive Decisions of LLMs Hao Kang, Qingru Zhang, Han Cai, Weiyuan Xu, Tushar Krishna, Yilun Du, Tsachy Weissman

AISTATS 2024 Adaptive Compression in Federated Learning via Side Information Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

ICMLW 2024 Lottery Ticket Adaptation: Mitigating Destructive Interference in LLMs Ashwinee Panda, Berivan Isik, Xiangyu Qi, Sanmi Koyejo, Tsachy Weissman, Prateek Mittal

ICMLW 2023 Exact Optimality in Communication-Privacy-Utility Tradeoffs Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

NeurIPS 2023 Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation Berivan Isik, Wei-Ning Chen, Ayfer Ozgur, Tsachy Weissman, Albert No

ICMLW 2023 Leveraging Side Information for Communication-Efficient Federated Learning Berivan Isik, Francesco Pase, Deniz Gunduz, Sanmi Koyejo, Tsachy Weissman, Michele Zorzi

ICLR 2023 Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik, Francesco Pase, Deniz Gunduz, Tsachy Weissman, Zorzi Michele

AISTATS 2022 An Information-Theoretic Justification for Model Pruning Berivan Isik, Tsachy Weissman, Albert No

NeurIPSW 2022 Efficient Federated Random Subnetwork Training Francesco Pase, Berivan Isik, Deniz Gunduz, Tsachy Weissman, Michele Zorzi

NeurIPS 2022 Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions Wei Zhang, Yanjun Han, Zhengyuan Zhou, Aaron Flores, Tsachy Weissman

NeurIPSW 2020 Noisy Neural Network Compression for Analog Storage Devices Berivan Isik, Kristy Choi, Xin Zheng, H.-S. Philip Wong, Stefano Ermon, Tsachy Weissman, Armin Alaghi

JMLR 2019 Approximate Profile Maximum Likelihood Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman

ICML 2019 Neural Joint Source-Channel Coding Kristy Choi, Kedar Tatwawadi, Aditya Grover, Tsachy Weissman, Stefano Ermon

NeurIPS 2018 Entropy Rate Estimation for Markov Chains with Large State Space Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu

COLT 2018 Geometric Lower Bounds for Distributed Parameter Estimation Under Communication Constraints Yanjun Han, Ayfer Özgür, Tsachy Weissman

COLT 2018 Local Moment Matching: A Unified Methodology for Symmetric Functional Estimation and Distribution Estimation Under Wasserstein Distance Yanjun Han, Jiantao Jiao, Tsachy Weissman

COLT 1999 On Prediction of Individual Sequences Relative to a Set of Experts in the Presence of Noise Tsachy Weissman, Neri Merhav