Yian Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | COLT | Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion. | Xunpeng Huang, Yingyu Lin, Nikki Lijing Kuang, Hanze Dong, Difan Zou, Yian Ma, Tong Zhang |
| 2025 | AISTATS | Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. | Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortoli, Dongxia Wu, Haorui Wang, Aaron M. Ferber, Yian Ma, Carla P. Gomes, Chao Zhang |
| 2025 | AISTATS | Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. | Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schlkopf |
| 2025 | ICLR | A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. | Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang |
| 2025 | ICLR | ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models. | Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick |
| 2025 | ICML | Discovering Latent Causal Graphs from Spatiotemporal Data. | Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu |
| 2025 | ICML | Learning to Steer Learners in Games. | Yizhou Zhang, Yian Ma, Eric Mazumdar |
| 2024 | ICLR | Reverse Diffusion Monte Carlo. | Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang |
| 2024 | ICLR | Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. | Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg, Zhiqi Bu |
| 2024 | ICML | Faster Sampling via Stochastic Gradient Proximal Sampler. | Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang |
| 2024 | ICML | Demystifying SGD with Doubly Stochastic Gradients. | Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner |
| 2024 | ICML | Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. | Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu |
| 2024 | ICML | Discovering Mixtures of Structural Causal Models from Time Series Data. | Sumanth Varambally, Yian Ma, Rose Yu |
| 2024 | UAI | On Convergence of Federated Averaging Langevin Dynamics. | Wei Deng, Qian Zhang, Yian Ma, Zhao Song, Guang Lin |
| 2021 | UAI | Variational refinement for importance sampling using the forward Kullback-Leibler divergence. | Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan |
| 2020 | ICML | Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics. | Matthew D. Hoffman, Yian Ma |