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09/15/2023
Doeblin Coefficients and Related Measures
Doeblin coefficients are a classical tool for analyzing the ergodicity a...
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09/14/2023
Permutation Capacity Region of Adder Multiple-Access Channels
Point-to-point permutation channels are useful models of communication n...
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06/16/2022
Gradient Descent for Low-Rank Functions
Several recent empirical studies demonstrate that important machine lear...
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05/28/2022
Functional Linear Regression of CDFs
The estimation of cumulative distribution functions (CDF) is an importan...
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01/06/2022
Federated Optimization of Smooth Loss Functions
In this work, we study empirical risk minimization (ERM) within a federa...
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11/04/2020
Gradient-Based Empirical Risk Minimization using Local Polynomial Regression
In this paper, we consider the problem of empirical risk minimization (E...
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10/03/2020
Broadcasting on Two-Dimensional Regular Grids
We study a specialization of the problem of broadcasting on directed acy...
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07/15/2020
Coding Theorems for Noisy Permutation Channels
In this paper, we formally define and analyze the class of noisy permuta...
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06/15/2020
Estimation of Skill Distributions
In this paper, we study the problem of learning the skill distribution o...
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11/20/2019
On Universal Features for High-Dimensional Learning and Inference
We consider the problem of identifying universal low-dimensional feature...
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11/07/2018
Broadcasting on Random Directed Acyclic Graphs
We study a generalization of the well-known model of broadcasting on tre...
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10/10/2018
Probabilistic Clustering Using Maximal Matrix Norm Couplings
In this paper, we present a local information theoretic approach to expl...
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03/20/2018