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Optimal strategic quantizer design via dynamic programming
Anju Anand -
Communication-Efficient Distributed Cooperative Learning with Compressed Beliefs
Mohammad Taha Toghani -
Sinkhorn Distributionally Robust Optimization
Jie Wang -
Online Machine Teaching under Uncertainty about the Learner
Belen Martin Urcelay -
Interference Nulling Using Reconfigurable Intelligent Surface
Tao Jiang -
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao -
Conditional Disclosure of Secrets: A Noise and Signal Alignment Approach
Zhou Li -
Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning
Behrad Moniri -
Containing a spread through sequential learning: to exploit or to explore?
Xingran Chen -
Shariatnasab
Mahshad -
An Information-Theoretic Characterization of Pufferfish Privacy
Theshani Nuradha Piliththuwasam Gallage -
Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
Eric Lei -
Walk for Learning: Decentralized Learning Algorithms via Random Walk
Ghadir Ayache -
Compressing Distributions
Yang Qiu -
Seeded Database Matching Under Synchronization Errors
Serhat Bakirtas -
Partial Information Decomposition for Time Series
Amanda Merkley -
Nearly Optimal Time-invariant Source Coding in LQG Control
Travis C. Cuvelier -
Random graph matching: fundamental limits and efficient algorithms
Sophie H. Yu -
The Information Bottleneck for Soft Information in Flash Memory Read Channels
Semira Galijasevic -
Quickest Inference of Network Cascades
Anirudh Sridhar
