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09/18/2023
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Safe Reinforcement Learning (RL) aims to find a policy that achieves hig...
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09/07/2023
Noisy Computing of the 𝖮𝖱 and 𝖬𝖠𝖷 Functions
We consider the problem of computing a function of n variables using noi...
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06/21/2023
On the Optimal Bounds for Noisy Computing
We revisit the problem of computing with noisy information considered in...
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06/04/2023
Fine-Tuning Language Models with Advantage-Induced Policy Alignment
Reinforcement learning from human feedback (RLHF) has emerged as a relia...
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06/03/2023
On Optimal Caching and Model Multiplexing for Large Model Inference
Large Language Models (LLMs) and other large foundation models have achi...
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06/01/2023
Doubly Robust Self-Training
Self-training is an important technique for solving semi-supervised lear...
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05/19/2023
Online Learning in a Creator Economy
The creator economy has revolutionized the way individuals can profit th...
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01/27/2023
Online Learning in Stackelberg Games with an Omniscient Follower
We study the problem of online learning in a two-player decentralized co...
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01/26/2023
Principled Reinforcement Learning with Human Feedback from Pairwise or K-wise Comparisons
We provide a theoretical framework for Reinforcement Learning with Human...
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05/24/2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
We propose Byzantine-robust federated learning protocols with nearly opt...
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04/05/2022
Jump-Start Reinforcement Learning
Reinforcement learning (RL) provides a theoretical framework for continu...
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02/02/2022
Robust Estimation for Nonparametric Families via Generative Adversarial Networks
We provide a general framework for designing Generative Adversarial Netw...
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03/22/2021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Offline (or batch) reinforcement learning (RL) algorithms seek to learn ...
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01/19/2021
Minimax Off-Policy Evaluation for Multi-Armed Bandits
We study the problem of off-policy evaluation in the multi-armed bandit ...
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01/12/2021
Linear Representation Meta-Reinforcement Learning for Instant Adaptation
This paper introduces Fast Linearized Adaptive Policy (FLAP), a new meta...
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05/28/2020
Robust estimation via generalized quasi-gradients
We explore why many recently proposed robust estimation problems are eff...
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01/21/2020
When does the Tukey median work?
We analyze the performance of the Tukey median estimator under total var...
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09/19/2019
Generalized Resilience and Robust Statistics
Robust statistics traditionally focuses on outliers, or perturbations in...
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01/27/2019