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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