关注
Ruoqi Shen
Ruoqi Shen
在 cs.washington.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
The randomized midpoint method for log-concave sampling
R Shen, YT Lee
Advances in Neural Information Processing Systems 32, 2019
1182019
Analysis of Langevin Monte Carlo from Poincaré to Log-Sobolev
S Chewi, MA Erdogdu, M Li, R Shen, S Zhang
Conference on Learning Theory, 1-2, 2022
922022
Data augmentation as feature manipulation
R Shen, S Bubeck, S Gunasekar
International Conference on Machine Learning, 19773-19808, 2022
522022
Structured logconcave sampling with a restricted gaussian oracle
YT Lee, R Shen, K Tian
Conference on Learning Theory, 2993-3050, 2021
522021
Logsmooth gradient concentration and tighter runtimes for Metropolized Hamiltonian Monte Carlo
YT Lee, R Shen, K Tian
Conference on learning theory, 2565-2597, 2020
452020
Generalized leverage score sampling for neural networks
JD Lee, R Shen, Z Song, M Wang
Advances in Neural Information Processing Systems 33, 10775-10787, 2020
422020
Sampling with Riemannian Hamiltonian Monte Carlo in a constrained space
Y Kook, YT Lee, R Shen, S Vempala
Advances in Neural Information Processing Systems 35, 31684-31696, 2022
282022
Lower bounds on Metropolized sampling methods for well-conditioned distributions
YT Lee, R Shen, K Tian
Advances in Neural Information Processing Systems 34, 18812-18824, 2021
252021
Near-optimal randomized exploration for tabular Markov decision processes
Z Xiong, R Shen, Q Cui, M Fazel, SS Du
Advances in Neural Information Processing Systems 35, 6358-6371, 2022
24*2022
How to fine-tune vision models with sgd
A Kumar, R Shen, S Bubeck, S Gunasekar
arXiv preprint arXiv:2211.09359, 2022
182022
Positional description matters for transformers arithmetic
R Shen, S Bubeck, R Eldan, YT Lee, Y Li, Y Zhang
arXiv preprint arXiv:2311.14737, 2023
152023
On optimal early stopping: Over-informative versus under-informative parametrization
R Shen, L Gao, YA Ma
arXiv preprint arXiv:2202.09885, 2022
132022
Condition-number-independent convergence rate of Riemannian Hamiltonian Monte Carlo with numerical integrators
Y Kook, YT Lee, R Shen, S Vempala
The Thirty Sixth Annual Conference on Learning Theory, 4504-4569, 2023
122023
Private convex optimization in general norms
S Gopi, YT Lee, D Liu, R Shen, K Tian
Proceedings of the 2023 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2023
122023
Algorithmic aspects of the log-Laplace transform and a non-Euclidean proximal sampler
S Gopi, YT Lee, D Liu, R Shen, K Tian
The Thirty Sixth Annual Conference on Learning Theory, 2399-2439, 2023
112023
Composite logconcave sampling with a restricted gaussian oracle
R Shen, K Tian, YT Lee
arXiv preprint arXiv:2006.05976, 2020
102020
When is particle filtering efficient for planning in partially observed linear dynamical systems?
SS Du, W Hu, Z Li, R Shen, Z Song, J Wu
Uncertainty in artificial intelligence, 728-737, 2021
4*2021
Film: Fill-in language models for any-order generation
T Shen, H Peng, R Shen, Y Fu, Z Harchaoui, Y Choi
arXiv preprint arXiv:2310.09930, 2023
22023
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