Efficient Sampling Using Markov Chain Monte Carlo Methods
PhD thesis, 2024
How to Fine-Tune Vision Models with SGD.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
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
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
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
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
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