Ruoqi Shen

According to our database, Ruoqi Shen authored at least 21 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

How to Fine-Tune Vision Models with SGD.

Ananya Kumar, Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Positional Description Matters for Transformers Arithmetic.

Ruoqi Shen, Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Yuanzhi Li, Yi Zhang

CoRR, 2023

FiLM: Fill-in Language Models for Any-Order Generation.

Tianxiao Shen, Hao Peng, Ruoqi Shen, Yao Fu, Zaïd Harchaoui, Yejin Choi

CoRR, 2023

Private Convex Optimization in General Norms.

Sivakanth Gopi, Yin Tat Lee, Daogao Liu, Ruoqi Shen, Kevin Tian

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators.

Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 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

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022

Data Augmentation as Feature Manipulation: a story of desert cows and grass cows.

Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar

CoRR, 2022

On Optimal Early Stopping: Over-informative versus Under-informative Parametrization.

Ruoqi Shen, Liyao Gao, Yi-An Ma

CoRR, 2022

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes.

Zhihan Xiong, Ruoqi Shen, Qiwen Cui, Maryam Fazel, Simon S. Du

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Sampling with Riemannian Hamiltonian Monte Carlo in a Constrained Space.

Yunbum Kook, Yin Tat Lee, Ruoqi Shen, Santosh S. Vempala

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data Augmentation as Feature Manipulation.

Ruoqi Shen, Sébastien Bubeck, Suriya Gunasekar

Proceedings of the International Conference on Machine Learning, 2022

Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev.

Sinho Chewi, Murat A. Erdogdu, Mufan (Bill) Li, Ruoqi Shen, Shunshi Zhang

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

Randomized Exploration is Near-Optimal for Tabular MDP.

Zhihan Xiong, Ruoqi Shen, Simon S. Du

CoRR, 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

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions.

Yin Tat Lee, Ruoqi Shen, Kevin Tian

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Structured Logconcave Sampling with a Restricted Gaussian Oracle.

Yin Tat Lee, Ruoqi Shen, Kevin Tian

Proceedings of the Conference on Learning Theory, 2021

2020

Composite Logconcave Sampling with a Restricted Gaussian Oracle.

Ruoqi Shen, Kevin Tian, Yin Tat Lee

CoRR, 2020

When is Particle Filtering Efficient for POMDP Sequential Planning?

Simon S. Du, Wei Hu, Zhiyuan Li, Ruoqi Shen, Zhao Song, Jiajun Wu

CoRR, 2020

Generalized Leverage Score Sampling for Neural Networks.

Jason D. Lee, Ruoqi Shen, Zhao Song, Mengdi Wang, Zheng Yu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo.

Yin Tat Lee, Ruoqi Shen, Kevin Tian

Proceedings of the Conference on Learning Theory, 2020

2019

The Randomized Midpoint Method for Log-Concave Sampling.

Ruoqi Shen, Yin Tat Lee

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019