Yian Ma - RankMe

29 papers A* 14A 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery. ICLR Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang, Mingming Gong, Yian Ma, Biwei Huang
2025	A	`conf`	Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. AISTATS Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schölkopf
2025	J	`jnl`	Almost Linear Convergence under Minimal Score Assumptions: Quantized Transition Diffusion. CoRR Xunpeng Huang, Yingyu Lin, Nikki Lijing Kuang, Hanze Dong, Difan Zou, Yian Ma, Tong Zhang
2025	J	`jnl`	Capturing Conditional Dependence via Auto-regressive Diffusion Models. CoRR Xunpeng Huang, Yujin Han, Difan Zou, Yian Ma, Tong Zhang
2025	A*	`conf`	ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models. ICLR Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
2025	A	`conf`	Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints. AISTATS 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	A*	`conf`	Discovering Latent Causal Graphs from Spatiotemporal Data. ICML Kun Wang, Sumanth Varambally, Duncan Watson-Parris, Yian Ma, Rose Yu
2025	A*	`conf`	Learning to Steer Learners in Games. ICML Yizhou Zhang, Yian Ma, Eric Mazumdar
2025	J	`jnl`	Multi-Step Consistency Models: Fast Generation with Theoretical Guarantees. CoRR Nishant Jain, Xunpeng Huang, Yian Ma, Tong Zhang
2025	J	`jnl`	On the Complexity Theory of Masked Discrete Diffusion: From poly(1/ε) to Nearly ε-Free. CoRR Xunpeng Huang, Yingyu Lin, Nishant Jain, Kaibo Wang, Difan Zou, Yian Ma, Tong Zhang
2025	J	`jnl`	Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action. CoRR Jasmine Chiat Ling Ong, Yilin Ning, Mingxuan Liu, Yian Ma, Zhao Liang, Kuldev Singh, Robert T. Chang, Silke Vogel, John CW Lim, Iris Siu Kwan Tan, Oscar Freyer, Stephen Gilbert, Danielle S. Bitterman, Xiaoxuan Liu, Alastair K. Denniston, Nan Liu
2025	J	`jnl`	seeBias: A Comprehensive Tool for Assessing and Visualizing AI Fairness. CoRR Yilin Ning, Yian Ma, Mingxuan Liu, Xin Li, Nan Liu
2024	J	`jnl`	Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation. CoRR Amartya Sanyal, Yaxi Hu, Yaodong Yu, Yian Ma, Yixin Wang, Bernhard Schölkopf
2024	J	`jnl`	ClimaQA: An Automated Evaluation Framework for Climate Foundation Models. CoRR Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky, Spencer Ho, Rose Yu, Duncan Watson-Parris, Yian Ma, Leon Bergen, Taylor Berg-Kirkpatrick
2024	A*	`conf`	Demystifying SGD with Doubly Stochastic Gradients. ICML Kyurae Kim, Joohwan Ko, Yian Ma, Jacob R. Gardner
2024	A*	`conf`	Discovering Mixtures of Structural Causal Models from Time Series Data. ICML Sumanth Varambally, Yian Ma, Rose Yu
2024	A*	`conf`	Faster Sampling via Stochastic Gradient Proximal Sampler. ICML Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024	J	`jnl`	Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. CoRR Xunpeng Huang, Difan Zou, Hanze Dong, Yian Ma, Tong Zhang
2024	A*	`conf`	Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk. NeurIPS Yuzhou Gu, Nikki Lijing Kuang, Yian Ma, Zhao Song, Lichen Zhang
2024	A*	`conf`	Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling. ICML Ruijia Niu, Dongxia Wu, Kai Kim, Yian Ma, Duncan Watson-Parris, Rose Yu
2024	A	`conf`	On Convergence of Federated Averaging Langevin Dynamics. UAI Wei Deng, Qian Zhang, Yian Ma, Zhao Song, Guang Lin
2024	A*	`conf`	Reverse Diffusion Monte Carlo. ICLR Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
2024	A*	`conf`	Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference. NeurIPS Xunpeng Huang, Difan Zou, Hanze Dong, Yi Zhang, Yian Ma, Tong Zhang
2024	A*	`conf`	Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. ICLR Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg, Zhiqi Bu
2023	J	`jnl`	Monte Carlo Sampling without Isoperimetry: A Reverse Diffusion Approach. CoRR Xunpeng Huang, Hanze Dong, Yifan Hao, Yian Ma, Tong Zhang
2023	A*	`conf`	Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation. NeurIPS Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yian Ma
2023	J	`jnl`	Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy. CoRR Yingyu Lin, Yian Ma, Yu-Xiang Wang, Rachel Redberg
2021	A	`conf`	Variational refinement for importance sampling using the forward Kullback-Leibler divergence. UAI Ghassen Jerfel, Serena Lutong Wang, Clara Wong-Fannjiang, Katherine A. Heller, Yian Ma, Michael I. Jordan
2020	A*	`conf`	Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics. ICML Matthew D. Hoffman, Yian Ma