Xinmeng Huang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 26

Top Topics

Collaborative Learning

Spatially Distributed

High Dimensions

Predictive Model

Top Venues

Publications

Xinmeng Huang, Shuo Li, Mengxin Yu, Matteo Sesia, Hamed Hassani, Insup Lee, Osbert Bastani, Edgar Dobriban
Uncertainty in Language Models: Assessment through Rank-Calibration. CoRR (2024)
Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
Decentralized Bilevel Optimization over Graphs: Loopless Algorithmic Update and Transient Iteration Complexity. CoRR (2024)
Xinmeng Huang, Shuo Li, Edgar Dobriban, Osbert Bastani, Hamed Hassani, Dongsheng Ding
One-Shot Safety Alignment for Large Language Models via Optimal Dualization. CoRR (2024)
Xinmeng Huang, Ping Li, Xiaoyun Li
Stochastic Controlled Averaging for Federated Learning with Communication Compression. ICLR (2024)
Ziheng Cheng, Xinmeng Huang, Pengfei Wu, Kun Yuan
Momentum Benefits Non-iid Federated Learning Simply and Provably. ICLR (2024)
Yutong He, Xinmeng Huang, Kun Yuan
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? CoRR (2023)
Yutong He, Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression. CoRR (2023)
Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani
Demystifying Disagreement-on-the-Line in High Dimensions. CoRR (2023)
Ziheng Cheng, Xinmeng Huang, Kun Yuan
Momentum Benefits Non-IID Federated Learning Simply and Provably. CoRR (2023)
Yutong He, Xinmeng Huang, Kun Yuan
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much? NeurIPS (2023)
Xinmeng Huang, Kan Xu, Donghwan Lee, Hamed Hassani, Hamsa Bastani, Edgar Dobriban
Optimal Heterogeneous Collaborative Linear Regression and Contextual Bandits. CoRR (2023)
Xinmeng Huang, Ping Li, Xiaoyun Li
Stochastic Controlled Averaging for Federated Learning with Communication Compression. CoRR (2023)
Donghwan Lee, Behrad Moniri, Xinmeng Huang, Edgar Dobriban, Hamed Hassani
Demystifying Disagreement-on-the-Line in High Dimensions. ICML (2023)
Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani
Collaborative Learning of Distributions under Heterogeneity and Communication Constraints. CoRR (2022)
Xinmeng Huang, Donghwan Lee, Edgar Dobriban, Hamed Hassani
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints. NeurIPS (2022)
Xinmeng Huang, Kun Yuan
Optimal Complexity in Non-Convex Decentralized Learning over Time-Varying Networks. CoRR (2022)
Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization. CoRR (2022)
Kun Yuan, Xinmeng Huang, Yiming Chen, Xiaohan Zhang, Yingya Zhang, Pan Pan
Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization. NeurIPS (2022)
Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. CoRR (2022)
Donghwan Lee, Xinmeng Huang, Hamed Hassani, Edgar Dobriban
T-Cal: An optimal test for the calibration of predictive models. CoRR (2022)
Xinmeng Huang, Yiming Chen, Wotao Yin, Kun Yuan
Lower Bounds and Nearly Optimal Algorithms in Distributed Learning with Communication Compression. NeurIPS (2022)
Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
An Improved Analysis and Rates for Variance Reduction under Without-replacement Sampling Orders. NeurIPS (2021)
Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. ICCV (2021)
Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin
DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. CoRR (2021)
Xinmeng Huang, Kun Yuan, Xianghui Mao, Wotao Yin
On the Comparison between Cyclic Sampling and Random Reshuffling. CoRR (2021)
Xinmeng Huang, Ernest K. Ryu, Wotao Yin
Scaled Relative Graph of Normal Matrices. CoRR (2020)