Yifang Chen | DeepAI

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Featured Co-authors

Xin Wang
382 publications
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Haipeng Luo
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Kevin Jamieson
50 publications
Max Simchowitz
48 publications
Krishnakumar Balasubramanian
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Matteo Pirotta
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Qifan Wang
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Chen-Yu Wei
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Su-In Lee
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∙ 06/16/2023

LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning

Labeled data are critical to modern machine learning applications, but o...

0 Jifan Zhang, et al. ∙

∙ 06/15/2023

Active Representation Learning for General Task Space with Applications in Robotics

Representation learning based on multi-task pretraining has become a pow...

0 Yifang Chen, et al. ∙

∙ 06/05/2023

Improved Active Multi-Task Representation Learning via Lasso

To leverage the copious amount of data from source tasks and overcome th...

0 Yiping Wang, et al. ∙

∙ 11/04/2022

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler

Active learning with strong and weak labelers considers a practical sett...

0 Yifang Chen, et al. ∙

∙ 05/05/2022

A Deep Bayesian Bandits Approach for Anticancer Therapy: Exploration via Functional Prior

Learning personalized cancer treatment with machine learning holds great...

0 MingYu Lu, et al. ∙

∙ 02/02/2022

Active Multi-Task Representation Learning

To leverage the power of big data from source tasks and overcome the sca...

14 Yifang Chen, et al. ∙

∙ 01/26/2022

Reward-Free RL is No Harder Than Reward-Aware RL in Linear Markov Decision Processes

Reward-free reinforcement learning (RL) considers the setting where the ...

0 Andrew Wagenmaker, et al. ∙

∙ 12/07/2021

First-Order Regret in Reinforcement Learning with Linear Function Approximation: A Robust Estimation Approach

Obtaining first-order regret bounds – regret bounds scaling not as the w...

0 Andrew Wagenmaker, et al. ∙

∙ 06/21/2021

Corruption Robust Active Learning

We conduct theoretical studies on streaming-based active learning for bi...

0 Yifang Chen, et al. ∙

∙ 02/13/2021

Improved Corruption Robust Algorithms for Episodic Reinforcement Learning

We study episodic reinforcement learning under unknown adversarial corru...

0 Yifang Chen, et al. ∙

∙ 06/01/2020

More Practical and Adaptive Algorithms for Online Quantum State Learning

Online quantum state learning is a recently proposed problem by Aaronson...

0 Yifang Chen, et al. ∙

∙ 12/13/2019

Fair Contextual Multi-Armed Bandits: Theory and Experiments

When an AI system interacts with multiple users, it frequently needs to ...

0 Yifang Chen, et al. ∙

∙ 12/03/2019

Online and Bandit Algorithms for Nonstationary Stochastic Saddle-Point Optimization

Saddle-point optimization problems are an important class of optimizatio...

0 Abhishek Roy, et al. ∙

∙ 06/30/2019

Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams

Much work in robotics and operations research has focused on optimal res...

0 Houston Claure, et al. ∙

∙ 02/03/2019

A New Algorithm for Non-stationary Contextual Bandits: Efficient, Optimal, and Parameter-free

We propose the first contextual bandit algorithm that is parameter-free,...

0 Yifang Chen, et al. ∙

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