Yi-An Ma
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
5
Active years
2017–2024
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | AISTATS | Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? | Kyurae Kim, Yi-An Ma, Jacob R. Gardner |
| 2024 | AISTATS | Learning Granger Causality from Instance-wise Self-attentive Hawkes Processes. | Dongxia Wu, Tsuyoshi Id, Georgios Kollias, Jir Navrtil, Aurlie C. Lozano, Naoki Abe, Yi-An Ma, Rose Yu |
| 2024 | COLT | Faster Sampling without Isoperimetry via Diffusion-based Monte Carlo. | Xunpeng Huang, Difan Zou, Hanze Dong, Yi-An Ma, Tong Zhang |
| 2023 | ICML | Langevin Thompson Sampling with Logarithmic Communication: Bandits and Reinforcement Learning. | Amin Karbasi, Nikki Lijing Kuang, Yi-An Ma, Siddharth Mitra |
| 2023 | ICML | Disentangled Multi-Fidelity Deep Bayesian Active Learning. | Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Yi-An Ma, Rose Yu |
| 2023 | KDD | Deep Bayesian Active Learning for Accelerating Stochastic Simulation. | Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2022 | KDD | Multi-fidelity Hierarchical Neural Processes. | Dongxia Wu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2021 | KDD | Quantifying Uncertainty in Deep Spatiotemporal Forecasting. | Dongxia Wu, Liyao Gao, Matteo Chinazzi, Xinyue Xiong, Alessandro Vespignani, Yi-An Ma, Rose Yu |
| 2020 | ICML | Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors. | Michael Dusenberry, Ghassen Jerfel, Yeming Wen, Yi-An Ma, Jasper Snoek, Katherine A. Heller, Balaji Lakshminarayanan, Dustin Tran |
| 2020 | ICML | On Approximate Thompson Sampling with Langevin Algorithms. | Eric Mazumdar, Aldo Pacchiano, Yi-An Ma, Michael I. Jordan, Peter L. Bartlett |
| 2019 | UAI | Deep Mixture of Experts via Shallow Embedding. | Xin Wang, Fisher Yu, Lisa Dunlap, Yi-An Ma, Ruth Wang, Azalia Mirhoseini, Trevor Darrell, Joseph E. Gonzalez |
| 2018 | ICML | On the Theory of Variance Reduction for Stochastic Gradient Monte Carlo. | Niladri S. Chatterji, Nicolas Flammarion, Yi-An Ma, Peter L. Bartlett, Michael I. Jordan |
| 2017 | ICML | Stochastic Gradient MCMC Methods for Hidden Markov Models. | Yi-An Ma, Nicholas J. Foti, Emily B. Fox |