Ruoqi Shen

According to our database1, Ruoqi Shen authored at least 21 papers between 2019 and 2023.

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Bibliography

2023
Positional Description Matters for Transformers Arithmetic.
CoRR, 2023

FiLM: Fill-in Language Models for Any-Order Generation.
CoRR, 2023

Private Convex Optimization in General Norms.
Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Condition-number-independent Convergence Rate of Riemannian Hamiltonian Monte Carlo with Numerical Integrators.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Algorithmic Aspects of the Log-Laplace Transform and a Non-Euclidean Proximal Sampler.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

2022
How to Fine-Tune Vision Models with SGD.
CoRR, 2022

Data Augmentation as Feature Manipulation: a story of desert cows and grass cows.
CoRR, 2022

On Optimal Early Stopping: Over-informative versus Under-informative Parametrization.
CoRR, 2022

Near-Optimal Randomized Exploration for Tabular Markov Decision Processes.
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.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Data Augmentation as Feature Manipulation.
Proceedings of the International Conference on Machine Learning, 2022

Analysis of Langevin Monte Carlo from Poincare to Log-Sobolev.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Randomized Exploration is Near-Optimal for Tabular MDP.
CoRR, 2021

When is particle filtering efficient for planning in partially observed linear dynamical systems?
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Lower Bounds on Metropolized Sampling Methods for Well-Conditioned Distributions.
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.
Proceedings of the Conference on Learning Theory, 2021

2020
Composite Logconcave Sampling with a Restricted Gaussian Oracle.
CoRR, 2020

When is Particle Filtering Efficient for POMDP Sequential Planning?
CoRR, 2020

Generalized Leverage Score Sampling for Neural Networks.
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.
Proceedings of the Conference on Learning Theory, 2020

2019
The Randomized Midpoint Method for Log-Concave Sampling.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019


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