Shen, Ruoqi

13 publications

ICLR 2024 How to Fine-Tune Vision Models with SGD Ananya Kumar, Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar

COLT 2023 Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian

COLT 2023 Condition-Number-Independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh Vempala

COLT 2022 Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev Sinho Chewi, Murat A Erdogdu, Mufan Li, Ruoqi Shen, Shunshi Zhang

ICML 2022 Data Augmentation as Feature Manipulation Ruoqi Shen, Sebastien Bubeck, Suriya Gunasekar

NeurIPS 2022 Near-Optimal Randomized Exploration for Tabular Markov Decision Processes Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S Du

NeurIPS 2022 Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space Yunbum Kook, Yin-Tat Lee, Ruoqi Shen, Santosh Vempala

NeurIPS 2021 Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions Yin Tat Lee, Ruoqi Shen, Kevin Tian

COLT 2021 Structured Logconcave Sampling with a Restricted Gaussian Oracle Yin Tat Lee, Ruoqi Shen, Kevin Tian

UAI 2021 When Is Particle Filtering Efficient for Planning in Partially Observed Linear Dynamical Systems? Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

NeurIPS 2020 Generalized Leverage Score Sampling for Neural Networks Jason Lee, Ruoqi Shen, Zhao Song, Mengdi Wang, Zheng Yu

COLT 2020 Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo Yin Tat Lee, Ruoqi Shen, Kevin Tian

NeurIPS 2019 The Randomized Midpoint Method for Log-Concave Sampling Ruoqi Shen, Yin Tat Lee