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03/20/2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing and Neural Networks with Quadratic Activations
Pruning schemes have been widely used in practice to reduce the complexi...
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02/12/2023
Statistical Complexity and Optimal Algorithms for Non-linear Ridge Bandits
We consider the sequential decision-making problem where the mean outcom...
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01/29/2023
Sample Efficient Deep Reinforcement Learning via Local Planning
The focus of this work is sample-efficient deep reinforcement learning (...
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10/05/2022
Spectral Regularization Allows Data-frugal Learning over Combinatorial Spaces
Data-driven machine learning models are being increasingly employed in s...
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05/30/2022
Minimax Optimal Online Imitation Learning via Replay Estimation
Online imitation learning is the problem of how best to mimic expert dem...
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02/06/2022
Missing Mass Estimation from Sticky Channels
Distribution estimation under error-prone or non-ideal sampling modelled...
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06/12/2021
Semi-supervised Active Regression
Labelled data often comes at a high cost as it may require recruiting hu...
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02/25/2021
Provably Breaking the Quadratic Error Compounding Barrier in Imitation Learning, Optimally
We study the statistical limits of Imitation Learning (IL) in episodic M...
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02/03/2021
Missing Mass of Rank-2 Markov Chains
Estimation of missing mass with the popular Good-Turing (GT) estimator i...
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09/23/2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Recent attacks on federated learning demonstrate that keeping the traini...
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09/13/2020
Toward the Fundamental Limits of Imitation Learning
Imitation learning (IL) aims to mimic the behavior of an expert policy i...
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01/13/2020
Convergence of Chao Unseen Species Estimator
Support size estimation and the related problem of unseen species estima...
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12/20/2018
Not Just Age but Age and Quality of Information
A versatile scheduling problem to model a three-way tradeoff between del...
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10/30/2018
