Ruqi Zhang
Cornell University
H-index: 7
North America-United States
Top articles of Ruqi Zhang
Title | Journal | Author(s) | Publication Date |
---|---|---|---|
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World | arXiv preprint arXiv:2403.20047 | Bowen Lei Dongkuan Xu Ruqi Zhang Bani Mallick | 2024/3/29 |
Balance is essence: Accelerating sparse training via adaptive gradient correction | Bowen Lei Dongkuan Xu Ruqi Zhang Shuren He Bani Mallick | 2024/1/8 | |
Gradient-based Discrete Sampling with Automatic Cyclical Scheduling | arXiv preprint arXiv:2402.17699 | Patrick Pynadath Riddhiman Bhattacharya Arun Hariharan Ruqi Zhang | 2024/2/27 |
Training Bayesian Neural Networks with Sparse Subspace Variational Inference | arXiv preprint arXiv:2402.11025 | Junbo Li Zichen Miao Qiang Qiu Ruqi Zhang | 2024/2/16 |
Discs: A benchmark for discrete sampling | Advances in Neural Information Processing Systems | Katayoon Goshvadi Haoran Sun Xingchao Liu Azade Nova Ruqi Zhang | 2024/2/13 |
Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI | Theodore Papamarkou Maria Skoularidou Konstantina Palla Laurence Aitchison Julyan Arbel | 2024/2 | |
DP-Fast MH: Private, fast, and accurate Metropolis-Hastings for large-scale Bayesian inference | Wanrong Zhang Ruqi Zhang | 2023/7/3 | |
Efficient Informed Proposals for Discrete Distributions via Newton’s Series Approximation | Yue Xiang Dongyao Zhu Bowen Lei Dongkuan Xu Ruqi Zhang | 2023/4/11 | |
GAD-EBM: Graph Anomaly Detection using Energy-Based Models | Amit Roy Juan Shu Olivier Elshocht Jeroen Smeets Ruqi Zhang | 2023/12/21 | |
Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo | arXiv preprint arXiv:2310.16320 | Ziyi Wang Yujie Chen Qifan Song Ruqi Zhang | 2023/10/25 |
Long-tailed Classification from a Bayesian-decision-theory Perspective | arXiv preprint arXiv:2303.06075 | Bolian Li Ruqi Zhang | 2023/3/10 |
Entropy-MCMC: Sampling from Flat Basins with Ease | arXiv preprint arXiv:2310.05401 | Bolian Li Ruqi Zhang | 2023/10/9 |
Calibrating the Rigged Lottery: Making All Tickets Reliable | arXiv preprint arXiv:2302.09369 | Bowen Lei Ruqi Zhang Dongkuan Xu Bani Mallick | 2023/2/18 |
Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging | Tunazzina Islam Ruqi Zhang Dan Goldwasser | 2023/8/8 | |
Rethinking data distillation: Do not overlook calibration | Dongyao Zhu Bowen Lei Jie Zhang Yanbo Fang Yiqun Xie | 2023 | |
On Equivalences between Weight and Function-Space Langevin Dynamics | Ziyu Wang Yuhao Zhou Ruqi Zhang Jun Zhu | 2022/12/6 | |
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent | Advances in Neural Information Processing Systems | Ruqi Zhang Qiang Liu Xin Tong | 2022/12/6 |
Low-Precision Stochastic Gradient Langevin Dynamics | Ruqi Zhang Andrew Gordon Wilson Christopher De Sa | 2022/6/28 | |
A Langevin-like Sampler for Discrete Distributions | Ruqi Zhang Xingchao Liu Qiang Liu | 2022/6/20 | |
Meta-Learning Divergences for Variational Inference | Ruqi Zhang Yingzhen Li Christopher De Sa Sam Devlin Cheng Zhang | 2021/3/18 |