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Tsachy Weissman

An Interactive Annotation Tool for Perceptual Video Compression


May 08, 2022
Evgenya Pergament, Pulkit Tandon, Kedar Tatwawadi, Oren Rippel, Lubomir Bourdev, Bruno Olshausen, Tsachy Weissman, Sachin Katti, Alexander G. Anderson

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Learning under Storage and Privacy Constraints


Feb 07, 2022
Berivan Isik, Tsachy Weissman

* 6 pages, 3 figures 
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Txt2Vid: Ultra-Low Bitrate Compression of Talking-Head Videos via Text


Jun 26, 2021
Pulkit Tandon, Shubham Chandak, Pat Pataranutaporn, Yimeng Liu, Anesu M. Mapuranga, Pattie Maes, Tsachy Weissman, Misha Sra

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* 8 pages, 5 figures, 1 table 
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Successive Pruning for Model Compression via Rate Distortion Theory


Feb 16, 2021
Berivan Isik, Albert No, Tsachy Weissman

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* 18 pages, 14 figures 
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Neural Network Compression for Noisy Storage Devices


Feb 15, 2021
Berivan Isik, Kristy Choi, Xin Zheng, Tsachy Weissman, Stefano Ermon, H. -S. Philip Wong, Armin Alaghi

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* 19 pages, 9 figures 
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Learning to Bid Optimally and Efficiently in Adversarial First-price Auctions


Jul 09, 2020
Yanjun Han, Zhengyuan Zhou, Aaron Flores, Erik Ordentlich, Tsachy Weissman

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Optimal No-regret Learning in Repeated First-price Auctions


Apr 14, 2020
Yanjun Han, Zhengyuan Zhou, Tsachy Weissman


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LFZip: Lossy compression of multivariate floating-point time series data via improved prediction


Nov 01, 2019
Shubham Chandak, Kedar Tatwawadi, Chengtao Wen, Lingyun Wang, Juan Aparicio, Tsachy Weissman

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NECST: Neural Joint Source-Channel Coding


Nov 19, 2018
Kristy Choi, Kedar Tatwawadi, Tsachy Weissman, Stefano Ermon

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Humans are still the best lossy image compressors


Oct 29, 2018
Ashutosh Bhown, Soham Mukherjee, Sean Yang, Shubham Chandak, Irena Fischer-Hwang, Kedar Tatwawadi, Tsachy Weissman

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Entropy Rate Estimation for Markov Chains with Large State Space


Sep 24, 2018
Yanjun Han, Jiantao Jiao, Chuan-Zheng Lee, Tsachy Weissman, Yihong Wu, Tiancheng Yu

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* Published as a conference paper on NIPS 2018 
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Bias Correction with Jackknife, Bootstrap, and Taylor Series


Sep 05, 2018
Jiantao Jiao, Yanjun Han, Tsachy Weissman

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Local moment matching: A unified methodology for symmetric functional estimation and distribution estimation under Wasserstein distance


Jun 26, 2018
Yanjun Han, Jiantao Jiao, Tsachy Weissman


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Approximate Profile Maximum Likelihood


Dec 19, 2017
Dmitri S. Pavlichin, Jiantao Jiao, Tsachy Weissman

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On Estimation of $L_{r}$-Norms in Gaussian White Noise Models


Nov 09, 2017
Yanjun Han, Jiantao Jiao, Rajarshi Mukherjee, Tsachy Weissman


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Estimating the Fundamental Limits is Easier than Achieving the Fundamental Limits


Oct 01, 2017
Jiantao Jiao, Yanjun Han, Irena Fischer-Hwang, Tsachy Weissman

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Demystifying ResNet


May 20, 2017
Sihan Li, Jiantao Jiao, Yanjun Han, Tsachy Weissman

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Beyond Maximum Likelihood: from Theory to Practice


Sep 26, 2014
Jiantao Jiao, Kartik Venkat, Yanjun Han, Tsachy Weissman

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Universal Reinforcement Learning


Jul 22, 2009
Vivek F. Farias, Ciamac C. Moallemi, Tsachy Weissman, Benjamin Van Roy

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Universal Denoising of Discrete-time Continuous-Amplitude Signals


Jul 22, 2008
Kamakshi Sivaramakrishnan, Tsachy Weissman

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* 56 pages 
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Scanning and Sequential Decision Making for Multi-Dimensional Data - Part II: the Noisy Case


May 20, 2007
Asaf Cohen, Tsachy Weissman, Neri Merhav

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* The second part of a two-part paper. 49 pages, 6 figures. Submitted to IEEE Trans. Inform. Theory 
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Scanning and Sequential Decision Making for Multi-Dimensional Data - Part I: the Noiseless Case


May 08, 2007
Asaf Cohen, Neri Merhav, Tsachy Weissman

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* 46 pages, 2 figures. Revised version: title changed, section 1 revised, section 3.1 added, a few minor/technical corrections made 
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