Gittens, Alex

13 publications

TMLR 2025 Group Fair Federated Learning via Stochastic Kernel Regularization Huzaifa Arif, Pin-Yu Chen, Keerthiram Murugesan, Alex Gittens

AAAI 2025 Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki, Charu C. Aggarwal

ICML 2023 Simple Disentanglement of Style and Content in Visual Representations Lilian Ngweta, Subha Maity, Alex Gittens, Yuekai Sun, Mikhail Yurochkin

ICML 2020 Adaptive Sketching for Fast and Convergent Canonical Polyadic Decomposition Alex Gittens, Kareem Aggour, Bülent Yener

ECML-PKDD 2020 NoisyCUR: An Algorithm for Two-Cost Budgeted Matrix Completion Dong Hu, Alex Gittens, Malik Magdon-Ismail

JMLR 2019 Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds Shusen Wang, Alex Gittens, Michael W. Mahoney

ICML 2017 Breaking Locality Accelerates Block Gauss-Seidel Stephen Tu, Shivaram Venkataraman, Ashia C. Wilson, Alex Gittens, Michael I. Jordan, Benjamin Recht

ICML 2017 Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging Shusen Wang, Alex Gittens, Michael W. Mahoney

JMLR 2016 Revisiting the Nyström Method for Improved Large-Scale Machine Learning Alex Gittens, Michael W. Mahoney

CVPR 2015 Hardware Compliant Approximate Image Codes Da Kuang, Alex Gittens, Raffay Hamid

ICML 2015 Spectral Clustering via the Power Method - Provably Christos Boutsidis, Prabhanjan Kambadur, Alex Gittens

ICML 2014 Compact Random Feature Maps Raffay Hamid, Ying Xiao, Alex Gittens, Dennis Decoste

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