Ruoqi Shen - RankMe

33 papers A* 13A 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev. Found. Comput. Math. Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li, Ruoqi Shen, Matthew Shunshi Zhang
2024	—	`—`	Efficient Sampling Using Markov Chain Monte Carlo Methods Ruoqi Shen
2024	A*	`conf`	How to Fine-Tune Vision Models with SGD. ICLR Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2023	A*	`conf`	Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler. COLT Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian
2023	J	`jnl`	Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler. CoRR Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian
2023	A*	`conf`	Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators. COLT Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
2023	J	`jnl`	FiLM: Fill-in Language Models for Any-Order Generation. CoRR Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi
2023	J	`jnl`	Positional Description Matters for Transformers Arithmetic. CoRR Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Yuanzhi Li, Yi Zhang
2023	A*	`conf`	Private Convex Optimization in General Norms. SODA Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian
2022	A*	`conf`	Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev. COLT Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li, Ruoqi Shen, Shunshi Zhang
2022	J	`jnl`	Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators. CoRR Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
2022	A*	`conf`	Data Augmentation as Feature Manipulation. ICML Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	J	`jnl`	Data Augmentation as Feature Manipulation: a story of desert cows and grass cows. CoRR Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	J	`jnl`	How to Fine-Tune Vision Models with SGD. CoRR Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar
2022	A*	`conf`	Near-Optimal Randomized Exploration for Tabular Markov Decision Processes. NeurIPS Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du
2022	J	`jnl`	On Optimal Early Stopping: Over-informative versus Under-informative Parametrization. CoRR Ruoqi Shen, Liyao Gao, Yi-An Ma
2022	J	`jnl`	Private Convex Optimization in General Norms. CoRR Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian
2022	A*	`conf`	Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. NeurIPS Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
2022	J	`jnl`	Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space. CoRR Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala
2021	A*	`conf`	Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions. NeurIPS Yin Tat Lee, Ruoqi Shen, Kevin Tian
2021	J	`jnl`	Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions. CoRR Yin Tat Lee, Ruoqi Shen, Kevin Tian
2021	J	`jnl`	Randomized Exploration is Near-Optimal for Tabular MDP. CoRR Zhihan Xiong, Ruoqi Shen, Simon S. Du
2021	A*	`conf`	Structured Logconcave Sampling with a Restricted Gaussian Oracle. COLT Yin Tat Lee, Ruoqi Shen, Kevin Tian
2021	A	`conf`	When is particle filtering efficient for planning in partially observed linear dynamical systems? UAI Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu
2020	J	`jnl`	Composite Logconcave Sampling with a Restricted Gaussian Oracle. CoRR Ruoqi Shen, Kevin Tian, Yin Tat Lee
2020	A*	`conf`	Generalized Leverage Score Sampling for Neural Networks. NeurIPS Jason D. Lee, Ruoqi Shen, Zhao Song, Mengdi Wang, Zheng Yu
2020	J	`jnl`	Generalized Leverage Score Sampling for Neural Networks. CoRR Jason D. Lee, Ruoqi Shen, Zhao Song, Mengdi Wang, Zheng Yu
2020	A*	`conf`	Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo. COLT Yin Tat Lee, Ruoqi Shen, Kevin Tian
2020	J	`jnl`	Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo. CoRR Yin Tat Lee, Ruoqi Shen, Kevin Tian
2020	J	`jnl`	Structured Logconcave Sampling with a Restricted Gaussian Oracle. CoRR Yin Tat Lee, Ruoqi Shen, Kevin Tian
2020	J	`jnl`	When is Particle Filtering Efficient for POMDP Sequential Planning? CoRR Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu
2019	A*	`conf`	The Randomized Midpoint Method for Log-Concave Sampling. NeurIPS Ruoqi Shen, Yin Tat Lee
2019	J	`jnl`	The Randomized Midpoint Method for Log-Concave Sampling. CoRR Ruoqi Shen, Yin Tat Lee