Yian Ma
30 papers · 2015–2026 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 8 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yian Ma?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Xunpeng Huang, Hanze Dong, Tong Zhang
11 papers
· 2015–2026
· NeurIPS, ICLR, ICML
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Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion
COLT 2026
A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery
ICLR 2025
Faster Sampling via Stochastic Gradient Proximal Sampler
ICML 2024
Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk
NeurIPS 2024
On Convergence of Federated Averaging Langevin Dynamics
UAI 2024
Reverse Diffusion Monte Carlo
ICLR 2024
Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference
NeurIPS 2024
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
ICLR 2024
Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning
ICML 2023
Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation
NeurIPS 2023
A Complete Recipe for Stochastic Gradient MCMC
NeurIPS 2015
3 papers whose co-authors appear nowhere else under this name
Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation
AISTATS 2025
Aiming towards the minimizers: fast convergence of SGD for overparametrized problems
NeurIPS 2023
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
ICML 2020