Papers

Page under construction. Manuscripts linked to are not necessarily the final published versions. A more up-to-date list can be found here. Please email me if you would like a pdf of any paper you are not able to access online.

Information and Estimation

The Relationship Between Causal and Non-Causal Mismatched Estimation in Continuous-Time AWGN Channels: Tsachy Weissman
Mutual Information, Relative Entropy, and Estimation in the Poisson Channel: Rami Atar and Tsachy Weissman
Pointwise Relations between Information and Estimation: Kartik Venkat and Tsachy Weissman

Action in Information

Capacity of Channels with Action-Dependent States: Tsachy Weissman
Source Coding with a Side Information 'Vending Machine': Tsachy Weissman and Haim Permuter
Probing Capacity: Himanshu Asnani, Haim Permuter, and Tsachy Weissman
Multi-terminal Source Coding With Action Dependent Side Information: Yeow-Khiang Chia, Himanshu Asnani, and Tsachy Weissman
Compression with Actions: Lei Zhao and Yeow-Khiang Chia

Multi-terminal Source Coding

Two-way Source Coding with a Helper: Haim Permuter, Yossef Steinberg, and Tsachy Weissman
Cascade, Triangular and Two Way Source Coding with degraded side information at the second user: Yeow Khiang Chia, Haim Permuter, and Tsachy Weissman
Cascade and Triangular Source Coding with Side Information at the First Two Nodes: Haim Permuter and Tsachy Weissman
Multiterminal Source Coding under Logarithmic Loss: Thomas Courtade and Tsachy Weissman

Feedback Communication

Coding for the feedback Gel'fand-Pinsker channel and the feedforward Wyner-Ziv source: Neri Merhav and Tsachy Weissman
Capacity of the Trapdoor Channel with Feedback: Haim Permuter, Paul Cuff, Benjamin Van Roy, and Tsachy Weissman
Coding Schemes for Additive White Noise Channels with Feedback Corrupted by Quantization or Bounded Noise: Nuno Martins and Tsachy Weissman
Finite-state channels with time invariant deterministic feedback: Haim Permuter, Tsachy Weissman, and Andrea Goldsmith
Capacity Region of the Finite State Multiple Access Channel With or Without Feedback: Haim Permuter, Tsachy Weissman, and Jun Chen
Error Exponents for the Gaussian Channel with Active Noisy Feedback: Young-Han Kim, Amos Lapidoth, and Tsachy Weissman
To Feed or Not to Feed Back: Himanshu Asnani, Haim Permuter, and Tsachy Weissman

Denoising

Universal Discrete Denoising: Known Channel: Tsachy Weissman, Erik Ordentlich, Gadiel Seroussi, Sergio Verdú, and Marcelo Weinberger
Discrete Denoising for Channels with Memory: Rui Zhang and Tsachy Weissman
Reflections on the DUDE: Erik Ordentlich, Gadiel Seroussi, Sergio Verdú, Marcelo Weinberger, and Tsachy Weissman
Discrete Denoising with Shifts: Taesup Moon and Tsachy Weissman
Denoising via MCMC-based Lossy Compression: Shirin Jalali and Tsachy Weissman

Toward Universal and Practical Lossy Source Coding

A Universal Scheme for Wyner-Ziv Coding of Discrete Sources: Shirin Jalali, Sergio Verdú, and Tsachy Weissman
Lossy compression of discrete soruces via Viterbi algorithm: Shirin Jalali, Andrea Montanari, and Tsachy Weissman
Block and Sliding-Block Lossy Compression vis MCMC: Shirin Jalali and Tsachy Weissman
Rate Distortion in Near-Linear Time: Ankit Gupta, Sergio Verdú, and Tsachy Weissman

Directed Information

Interpretations of Directed Information in Portfolio Theory, Data Compression, and Hypothesis Testing: Haim Permuter, Young-Han Kim, and Tsachy Weissman
Directed Information, Causal Estimation, and Communication in Continuous Time: Tsachy Weissman, Young-Han Kim, and Haim H. Permuer
Universal Estimation of Directed Information: Jiantao Jiao, Haim H. Permuter, Lei Zhao, Young-Han Kim, and Tsachy Weissman

Delay and Complexity Constrained Information Theory

On Causal Source Codes with Side Information: Tsachy Weissman and Neri Merhav
Source Coding with Limited Side Information Lookahead at the Decoder: Tsachy Weissman and Abbas El Gamal
On Real Time Coding with Limited Lookahead: Himanshu Asnani and Tsachy Weissman

Prediction, Learning, and Sequential Decision Making

Universal Filtering via Prediction: Tsachy Weissman, Erik Ordentlich, Marcelo Weinberger, Anelia Somekh-Baruch, and Neri Merhav
How to filter an 'individual sequence with feedback': Tsachy Weissman
Scanning and sequential decision making for multi-dimensional data, Part II: the noisy case: Asaf Cohen, Tsachy Weissman, and Neri Merhav
Universal Reinforcement Learning: Vivek F. Farias, Ciamac C. Moallemi, Benjamin Van Roy, and Tsachy Weissman

Entropy

On the Optimality of Symbol by Symbol Filtering and Denoising: Erik Ordentlich and Tsachy Weissman
Entropy of Hidden Markov Processes and Connections to Dynamical Systems: Brian Markus, Karl Petersen, and Tsachy Weissman (eds.)
Bounds on the Entropy Rate of Binary Hidden Markov Processes: Erik Ordentlich and Tsachy Weissman

Shannon Theory

The empirical distribution of rate-constrained codes: Tsachy Weissman and Erik Ordentlich
The Information Lost in Erasures: Sergio Verdú and Tsachy Weissman
Tighter Bounds on the Capacity of Finite-State Channels via Markov Set-Chains: Jun Chen, Haim Permuter, and Tsachy Weissman