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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

* 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

* 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

* 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

* 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

* 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

* 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

* 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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