Yian Ma

6

Papers

5

Total Citations

Papers (6)

Faster Sampling via Stochastic Gradient Proximal Sampler

Purifying Approximate Differential Privacy with Randomized Post-processing

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

Demystifying SGD with Doubly Stochastic Gradients

Discovering Mixtures of Structural Causal Models from Time Series Data

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling