Ruoqi Shen

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 31

Top Topics

Sampling Methods

Particle Filtering

Algorithmic Aspects

Top Venues

Publications

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