Jason M. Altschuler
Orcid: 0000-0001-7367-0097Affiliations:
- Massachusetts Institute of Technology (MIT), Laboratory for Information and Decision Systems, Cambridge, MA, USA
- Princeton University, NJ, USA
According to our database1,
Jason M. Altschuler
authored at least 33 papers
between 2016 and 2025.
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Bibliography
2025
IEEE Trans. Inf. Theory, January, 2025
2024
J. ACM, June, 2024
SIAM J. Comput., 2024
Acceleration by Random Stepsizes: Hedging, Equalization, and the Arcsine Stepsize Schedule.
CoRR, 2024
CoRR, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2023
Polynomial-time algorithms for multimarginal optimal transport problems with structure.
Math. Program., May, 2023
SIAM J. Appl. Algebra Geom., March, 2023
Math. Program., March, 2023
Acceleration by Stepsize Hedging I: Multi-Step Descent and the Silver Stepsize Schedule.
CoRR, 2023
Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
Approximating Min-Mean-Cycle for Low-Diameter Graphs in Near-Optimal Time and Memory.
SIAM J. Optim., September, 2022
PhD thesis, 2022
Flows, Scaling, and Entropy Revisited: a Unified Perspective via Optimizing Joint Distributions.
CoRR, 2022
Privacy of Noisy Stochastic Gradient Descent: More Iterations without More Privacy Loss.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Math. Oper. Res., 2021
J. Mach. Learn. Res., 2021
Averaging on the Bures-Wasserstein manifold: dimension-free convergence of gradient descent.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Lyapunov Exponent of Rank-One Matrices: Ergodic Formula and Inapproximability of the Optimal Distribution.
SIAM J. Control. Optim., 2020
Random Osborne: a simple, practical algorithm for Matrix Balancing in near-linear time.
CoRR, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
2017
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016