Altschuler, Jason

8 publications

ICML 2024 Shifted Interpolation for Differential Privacy Jinho Bok, Weijie J Su, Jason Altschuler

COLT 2023 Resolving the Mixing Time of the Langevin Algorithm to Its Stationary Distribution for Log-Concave Sampling Jason Altschuler, Kunal Talwar

NeurIPS 2022 Privacy of Noisy Stochastic Gradient Descent: More Iterations Without More Privacy Loss Jason Altschuler, Kunal Talwar

NeurIPS 2021 Averaging on the Bures-Wasserstein Manifold: Dimension-Free Convergence of Gradient Descent Jason Altschuler, Sinho Chewi, Patrik R Gerber, Austin Stromme

JMLR 2019 Best Arm Identification for Contaminated Bandits Jason Altschuler, Victor-Emmanuel Brunel, Alan Malek

NeurIPS 2019 Massively Scalable Sinkhorn Distances via the Nyström Method Jason Altschuler, Francis Bach, Alessandro Rudi, Jonathan Niles-Weed

NeurIPS 2017 Near-Linear Time Approximation Algorithms for Optimal Transport via Sinkhorn Iteration Jason Altschuler, Jonathan Niles-Weed, Philippe Rigollet

ICML 2016 Greedy Column Subset Selection: New Bounds and Distributed Algorithms Jason Altschuler, Aditya Bhaskara, Gang Fu, Vahab Mirrokni, Afshin Rostamizadeh, Morteza Zadimoghaddam