b'Yuxin Chen'

research

∙ 09/21/2023

BitCoin: Bidirectional Tagging and Supervised Contrastive Learning based Joint Relational Triple Extraction Framework

Relation triple extraction (RTE) is an essential task in information ext...

0 Luyao He, et al. ∙

research

∙ 07/25/2023

Settling the Sample Complexity of Online Reinforcement Learning

A central issue lying at the heart of online reinforcement learning (RL)...

0 Zihan Zhang, et al. ∙

research

∙ 07/25/2023

Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation

We study Bayesian optimization (BO) in high-dimensional and non-stationa...

0 Fengxue Zhang, et al. ∙

research

∙ 06/17/2023

Active Policy Improvement from Multiple Black-box Oracles

Reinforcement learning (RL) has made significant strides in various comp...

9 Xuefeng Liu, et al. ∙

research

∙ 06/15/2023

Towards Faster Non-Asymptotic Convergence for Diffusion-Based Generative Models

Diffusion models, which convert noise into new data instances by learnin...

4 Gen Li, et al. ∙

research

∙ 05/26/2023

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model

This paper investigates model robustness in reinforcement learning (RL) ...

5 Laixi Shi, et al. ∙

research

∙ 05/17/2023

Reward-agnostic Fine-tuning: Provable Statistical Benefits of Hybrid Reinforcement Learning

This paper studies tabular reinforcement learning (RL) in the hybrid set...

1 Gen Li, et al. ∙

research

∙ 05/03/2023

Efficient Online Decision Tree Learning with Active Feature Acquisition

Constructing decision trees online is a classical machine learning probl...

2 Arman Rahbar, et al. ∙

research

∙ 04/14/2023

Minimax-Optimal Reward-Agnostic Exploration in Reinforcement Learning

This paper studies reward-agnostic exploration in reinforcement learning...

7 Gen Li, et al. ∙

research

∙ 04/05/2023

A force-sensing surgical drill for real-time force feedback in robotic mastoidectomy

Purpose: Robotic assistance in otologic surgery can reduce the task load...

6 Yuxin Chen, et al. ∙

research

∙ 03/10/2023

Deflated HeteroPCA: Overcoming the curse of ill-conditioning in heteroskedastic PCA

This paper is concerned with estimating the column subspace of a low-ran...

1 Yuchen Zhou, et al. ∙

research

∙ 01/30/2023

Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods

Efficient computation of the optimal transport distance between two dist...

1 Gen Li, et al. ∙

research

∙ 08/22/2022

Minimax-Optimal Multi-Agent RL in Markov Games With a Generative Model

This paper studies multi-agent reinforcement learning in Markov games, w...

3 Gen Li, et al. ∙

research

∙ 07/13/2022

Cost-Effective Online Contextual Model Selection

How can we collect the most useful labels to learn a model selection pol...

11 Xuefeng Liu, et al. ∙

research

∙ 06/08/2022

Model-Based Reinforcement Learning Is Minimax-Optimal for Offline Zero-Sum Markov Games

This paper makes progress towards learning Nash equilibria in two-player...

4 Yuling Yan, et al. ∙

research

∙ 05/25/2022

These Maps Are Made For Walking: Real-Time Terrain Property Estimation for Mobile Robots

The equations of motion governing mobile robots are dependent on terrain...

0 Parker Ewen, et al. ∙

research

∙ 04/11/2022

Settling the Sample Complexity of Model-Based Offline Reinforcement Learning

This paper is concerned with offline reinforcement learning (RL), which ...

3 Gen Li, et al. ∙

research

∙ 03/20/2022

Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation

Open-vocabulary object detection aims to detect novel object categories ...

9 Zongyang Ma, et al. ∙

research

∙ 03/16/2022

Learning Representation for Bayesian Optimization with Collision-free Regularization

Bayesian optimization has been challenged by datasets with large-scale, ...

3 Fengxue Zhang, et al. ∙

research

∙ 03/14/2022

The Efficacy of Pessimism in Asynchronous Q-Learning

This paper is concerned with the asynchronous form of Q-learning, which ...

3 Yuling Yan, et al. ∙

research

∙ 02/28/2022

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity

Offline or batch reinforcement learning seeks to learn a near-optimal po...

6 Laixi Shi, et al. ∙

research

∙ 02/03/2022

Rethinking Explainability as a Dialogue: A Practitioner's Perspective

As practitioners increasingly deploy machine learning models in critical...

5 Himabindu Lakkaraju, et al. ∙

research

∙ 01/21/2022

LRSVRG-IMC: An SVRG-Based Algorithm for LowRank Inductive Matrix Completion

Low-rank inductive matrix completion (IMC) is currently widely used in I...

3 Shangrong Yu, et al. ∙

research

∙ 12/27/2021

BALanCe: Deep Bayesian Active Learning via Equivalence Class Annealing

Active learning has demonstrated data efficiency in many fields. Existin...

5 Renyu Zhang, et al. ∙

research

∙ 11/30/2021

Atos: A Task-Parallel GPU Dynamic Scheduling Framework for Dynamic Irregular Computations

We present Atos, a task-parallel GPU dynamic scheduling framework that i...

0 Yuxin Chen, et al. ∙

research

∙ 11/03/2021

Online Learning of Energy Consumption for Navigation of Electric Vehicles

Energy-efficient navigation constitutes an important challenge in electr...

9 Niklas Åkerblom, et al. ∙

research

∙ 10/28/2021

Class-wise Thresholding for Detecting Out-of-Distribution Data

We consider the problem of detecting OoD(Out-of-Distribution) input data...

11 Matteo Guarrera, et al. ∙

research

∙ 10/28/2021

Teaching an Active Learner with Contrastive Examples

We study the problem of active learning with the added twist that the le...

9 Chaoqi Wang, et al. ∙

research

∙ 10/09/2021

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning

Achieving sample efficiency in online episodic reinforcement learning (R...

5 Gen Li, et al. ∙

research

∙ 08/12/2021

A Contract Theory based Incentive Mechanism for Federated Learning

Federated learning (FL) serves as a data privacy-preserved machine learn...

9 Mengmeng Tian, et al. ∙

research

∙ 07/26/2021

Inference for Heteroskedastic PCA with Missing Data

This paper studies how to construct confidence regions for principal com...

6 Yuling Yan, et al. ∙

research

∙ 05/24/2021

Policy Mirror Descent for Regularized Reinforcement Learning: A Generalized Framework with Linear Convergence

Policy optimization, which learns the policy of interest by maximizing t...

7 Wenhao Zhan, et al. ∙

research

∙ 05/17/2021

Sample-Efficient Reinforcement Learning Is Feasible for Linearly Realizable MDPs with Limited Revisiting

Low-complexity models such as linear function representation play a pivo...

6 Gen Li, et al. ∙

research

∙ 05/16/2021

Understanding the Effect of Bias in Deep Anomaly Detection

Anomaly detection presents a unique challenge in machine learning, due t...

15 Ziyu Ye, et al. ∙

research

∙ 04/23/2021

Generating Continuous Motion and Force Plans in Real-Time for Legged Mobile Manipulation

Manipulators can be added to legged robots, allowing them to interact wi...

0 Parker Ewen, et al. ∙

research

∙ 04/14/2021

Towards an Interpretable Data-driven Trigger System for High-throughput Physics Facilities

Data-intensive science is increasingly reliant on real-time processing c...

16 Chinmaya Mahesh, et al. ∙

research

∙ 04/07/2021

Minimax Estimation of Linear Functions of Eigenvectors in the Face of Small Eigen-Gaps

Eigenvector perturbation analysis plays a vital role in various statisti...

8 Gen Li, et al. ∙

research

∙ 02/22/2021

Softmax Policy Gradient Methods Can Take Exponential Time to Converge

The softmax policy gradient (PG) method, which performs gradient ascent ...

6 Gen Li, et al. ∙

research

∙ 02/12/2021

Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis

Q-learning, which seeks to learn the optimal Q-function of a Markov deci...

4 Gen Li, et al. ∙

research

∙ 12/15/2020

Spectral Methods for Data Science: A Statistical Perspective

Spectral methods have emerged as a simple yet surprisingly effective app...

18 Yuxin Chen, et al. ∙

research

∙ 10/17/2020

Preference-Based Batch and Sequential Teaching

Algorithmic machine teaching studies the interaction between a teacher a...

1 Farnam Mansouri, et al. ∙

research

∙ 10/04/2020

Learning Time Varying Risk Preferences from Investment Portfolios using Inverse Optimization with Applications on Mutual Funds

The fundamental principle in Modern Portfolio Theory (MPT) is based on t...

0 Shi Yu, et al. ∙

research

∙ 09/23/2020

Learning Mixtures of Low-Rank Models

We study the problem of learning mixtures of low-rank models, i.e. recon...

22 Yanxi Chen, et al. ∙

research

∙ 08/20/2020

Using Ensemble Classifiers to Detect Incipient Anomalies

Incipient anomalies present milder symptoms compared to severe ones, and...

5 Baihong Jin, et al. ∙

research

∙ 08/04/2020

Convex and Nonconvex Optimization Are Both Minimax-Optimal for Noisy Blind Deconvolution

We investigate the effectiveness of convex relaxation and nonconvex opti...

21 Yuxin Chen, et al. ∙

research

∙ 07/13/2020

Fast Global Convergence of Natural Policy Gradient Methods with Entropy Regularization

Natural policy gradient (NPG) methods are among the most widely used pol...

9 Shicong Cen, et al. ∙

research

∙ 07/12/2020

Exploiting Uncertainties from Ensemble Learners to Improve Decision-Making in Healthcare AI

Ensemble learning is widely applied in Machine Learning (ML) to improve ...

9 Yingshui Tan, et al. ∙

research

∙ 07/07/2020

Are Ensemble Classifiers Powerful Enough for the Detection and Diagnosis of Intermediate-Severity Faults?

IS faults present milder symptoms compared to severe faults, and are mor...

0 Baihong Jin, et al. ∙

research

∙ 06/25/2020

Average-case Complexity of Teaching Convex Polytopes via Halfspace Queries

We examine the task of locating a target region among those induced by i...

4 Akash Kumar, et al. ∙

research

∙ 06/15/2020

Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality

We study the distribution and uncertainty of nonconvex optimization for ...

7 Changxiao Cai, et al. ∙

Yuxin Chen

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