Mahoney, Michael

30 publications

JMLR 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming Sen Na, Michael Mahoney

AISTATS 2024 NoisyMix: Boosting Model Robustness to Common Corruptions Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael Mahoney

NeurIPSW 2023 A PAC-Bayesian Perspective on the Interpolating Information Criterion Liam Hodgkinson, Chris van der Heide, Robert Salomone, Fred Roosta, Michael Mahoney

ICML 2022 AutoIP: A United Framework to Integrate Physics into Gaussian Processes Da Long, Zheng Wang, Aditi Krishnapriyan, Robert Kirby, Shandian Zhe, Michael Mahoney

ICML 2022 Fat–Tailed Variational Inference with Anisotropic Tail Adaptive Flows Feynman Liang, Michael Mahoney, Liam Hodgkinson

ICML 2022 GACT: Activation Compressed Training for Generic Network Architectures Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael Mahoney, Alvin Cheung

ICML 2022 Generalization Bounds Using Lower Tail Exponents in Stochastic Optimizers Liam Hodgkinson, Umut Simsekli, Rajiv Khanna, Michael Mahoney

ICML 2022 Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael Mahoney, Prateek Mittal, Ramchandran Kannan, Joseph Gonzalez

AISTATS 2021 Good Classifiers Are Abundant in the Interpolating Regime Ryan Theisen, Jason Klusowski, Michael Mahoney

ICML 2021 ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael Mahoney, Joseph Gonzalez

ICML 2021 HAWQ-V3: Dyadic Neural Network Quantization Zhewei Yao, Zhen Dong, Zhangcheng Zheng, Amir Gholami, Jiali Yu, Eric Tan, Leyuan Wang, Qijing Huang, Yida Wang, Michael Mahoney, Kurt Keutzer

ICML 2021 Multiplicative Noise and Heavy Tails in Stochastic Optimization Liam Hodgkinson, Michael Mahoney

COLT 2021 Sparse Sketches with Small Inversion Bias Michal Derezinski, Zhenyu Liao, Edgar Dobriban, Michael Mahoney

AISTATS 2020 Asymptotic Analysis of Sampling Estimators for Randomized Numerical Linear Algebra Algorithms Ping Ma, Xinlian Zhang, Xin Xing, Jingyi Ma, Michael Mahoney

AISTATS 2020 Bayesian Experimental Design Using Regularized Determinantal Point Processes Michal Derezinski, Feynman Liang, Michael Mahoney

ICML 2020 Error Estimation for Sketched SVD via the Bootstrap Miles Lopes, N. Benjamin Erichson, Michael Mahoney

ICML 2020 Forecasting Sequential Data Using Consistent Koopman Autoencoders Omri Azencot, N. Benjamin Erichson, Vanessa Lin, Michael Mahoney

ICML 2020 PowerNorm: Rethinking Batch Normalization in Transformers Sheng Shen, Zhewei Yao, Amir Gholami, Michael Mahoney, Kurt Keutzer

AISTATS 2020 Statistical Guarantees for Local Graph Clustering Wooseok Ha, Kimon Fountoulakis, Michael Mahoney

ICML 2019 Traditional and Heavy Tailed Self Regularization in Neural Network Models Michael Mahoney, Charles Martin

ICML 2018 Error Estimation for Randomized Least-Squares Algorithms via the Bootstrap Miles Lopes, Shusen Wang, Michael Mahoney

ICML 2018 Out-of-Sample Extension of Graph Adjacency Spectral Embedding Keith Levin, Fred Roosta, Michael Mahoney, Carey Priebe

ICML 2016 A Simple and Strongly-Local Flow-Based Method for Cut Improvement Nate Veldt, David Gleich, Michael Mahoney

ICML 2015 Statistical and Algorithmic Perspectives on Randomized Sketching for Ordinary Least-Squares Garvesh Raskutti, Michael Mahoney

ICML 2014 A Statistical Perspective on Algorithmic Leveraging Ping Ma, Michael Mahoney, Bin Yu

ICML 2014 Anti-Differentiating Approximation algorithms:A Case Study with Min-Cuts, Spectral, and Flow David Gleich, Michael Mahoney

ICML 2014 Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels Jiyan Yang, Vikas Sindhwani, Haim Avron, Michael Mahoney

ICML 2013 Quantile Regression for Large-Scale Applications Jiyan Yang, Xiangrui Meng, Michael Mahoney

ICML 2013 Revisiting the Nystrom Method for Improved Large-Scale Machine Learning Alex Gittens, Michael Mahoney

ICML 2013 Robust Regression on MapReduce Xiangrui Meng, Michael Mahoney