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Ruqi Zhang

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Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World

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Mar 29, 2024
Bowen Lei, Dongkuan Xu, Ruqi Zhang, Bani Mallick

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Gradient-based Discrete Sampling with Automatic Cyclical Scheduling

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Feb 27, 2024
Patrick Pynadath, Riddhiman Bhattacharya, Arun Hariharan, Ruqi Zhang

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Training Bayesian Neural Networks with Sparse Subspace Variational Inference

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Feb 16, 2024
Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang

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Position Paper: Bayesian Deep Learning in the Age of Large-Scale AI

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Feb 06, 2024
Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jose Miguel Hernandez Lobato, Aliaksandr Hubin, Alexander Immer, Theofanis Karaletsos, Mohammad Emtiyaz Khan, Agustinus Kristiadi, Yingzhen Li, Stephan Mandt, Christopher Nemeth, Michael A. Osborne, Tim G. J. Rudner, David Rügamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang

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Enhancing Low-Precision Sampling via Stochastic Gradient Hamiltonian Monte Carlo

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Oct 25, 2023
Ziyi Wang, Yujie Chen, Qifan Song, Ruqi Zhang

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Entropy-MCMC: Sampling from Flat Basins with Ease

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Oct 09, 2023
Bolian Li, Ruqi Zhang

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Rethinking Data Distillation: Do Not Overlook Calibration

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Jul 24, 2023
Dongyao Zhu, Bowen Lei, Jie Zhang, Yanbo Fang, Ruqi Zhang, Yiqun Xie, Dongkuan Xu

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Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging

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May 06, 2023
Tunazzina Islam, Ruqi Zhang, Dan Goldwasser

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Long-tailed Classification from a Bayesian-decision-theory Perspective

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Mar 21, 2023
Bolian Li, Ruqi Zhang

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DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference

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Mar 10, 2023
Wanrong Zhang, Ruqi Zhang

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