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Yi-An Ma

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Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

Feb 29, 2024
Ruijia Niu, Dongxia Wu, Kai Kim, Yi-An Ma, Duncan Watson-Parris, Rose Yu

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Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints

Feb 28, 2024
Lingkai Kong, Yuanqi Du, Wenhao Mu, Kirill Neklyudov, Valentin De Bortol, Haorui Wang, Dongxia Wu, Aaron Ferber, Yi-An Ma, Carla P. Gomes, Chao Zhang

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Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes

Feb 06, 2024
Dongxia Wu, Tsuyoshi Idé, Aurélie Lozano, Georgios Kollias, Jiří Navrátil, Naoki Abe, Yi-An Ma, Rose Yu

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

Nov 04, 2023
Nikki Lijing Kuang, Ming Yin, Mengdi Wang, Yu-Xiang Wang, Yi-An Ma

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Discovering Mixtures of Structural Causal Models from Time Series Data

Oct 10, 2023
Sumanth Varambally, Yi-An Ma, Rose Yu

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Optimization on Pareto sets: On a theory of multi-objective optimization

Aug 04, 2023
Abhishek Roy, Geelon So, Yi-An Ma

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Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning

Jun 15, 2023
Amin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra

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

Jun 05, 2023
Chaoyue Liu, Dmitriy Drusvyatskiy, Mikhail Belkin, Damek Davis, Yi-An Ma

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Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection

Jul 22, 2022
Kush Bhatia, Nikki Lijing Kuang, Yi-An Ma, Yixin Wang

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