Yian Ma

10

Papers

5

Total Citations

Papers (10)

Faster Sampling via Stochastic Gradient Proximal Sampler

Purifying Approximate Differential Privacy with Randomized Post-processing

Discovering Mixtures of Structural Causal Models from Time Series Data

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

Nearly Dimension-Independent Convergence of Mean-Field Black-Box Variational Inference

Demystifying SGD with Doubly Stochastic Gradients

Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation

On the Convergence of Black-Box Variational Inference

Aiming towards the minimizers: fast convergence of SGD for overparametrized problems

On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo