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