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Oren Mangoubi
Oren Mangoubi
Assistant Professor, Mathematical Sciences and Data Science, Worcester Polytechnic Institute (WPI)
Verified email at wpi.edu - Homepage
Title
Cited by
Cited by
Year
Rapid mixing of Hamiltonian Monte Carlo on strongly log-concave distributions
O Mangoubi, A Smith
arXiv preprint arXiv:1708.07114, 2017
1062017
Dimensionally tight bounds for second-order Hamiltonian Monte Carlo
O Mangoubi, N Vishnoi
Advances in neural information processing systems 31, 2018
682018
Does Hamiltonian Monte Carlo mix faster than a random walk on multimodal densities?
O Mangoubi, NS Pillai, A Smith
arXiv preprint arXiv:1808.03230, 2018
372018
Nonconvex sampling with the Metropolis-adjusted Langevin algorithm
O Mangoubi, NK Vishnoi
Conference on learning theory, 2259-2293, 2019
362019
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions 2: Numerical integrators
O Mangoubi, A Smith
The 22nd international conference on artificial intelligence and statistics …, 2019
302019
Rapid mixing of geodesic walks on manifolds with positive curvature
O Mangoubi, A Smith
The Annals of Applied Probability 28 (4), 2501-2543, 2018
262018
Faster polytope rounding, sampling, and volume computation via a sub-linear ball walk
O Mangoubi, NK Vishnoi
2019 IEEE 60th Annual Symposium on Foundations of Computer Science (FOCS …, 2019
242019
Greedy adversarial equilibrium: an efficient alternative to nonconvex-nonconcave min-max optimization
O Mangoubi, NK Vishnoi
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
232021
Mixing of Hamiltonian Monte Carlo on strongly log-concave distributions: Continuous dynamics
O Mangoubi, A Smith
The Annals of Applied Probability 31 (5), 2019-2045, 2021
162021
Magnetization transfer magic-angle-spinning z-spectroscopy of excised tissues
R Avni, O Mangoubi, R Bhattacharyya, H Degani, L Frydman
Journal of Magnetic Resonance 199 (1), 1-9, 2009
152009
Sync-switch: Hybrid parameter synchronization for distributed deep learning
S Li, O Mangoubi, L Xu, T Guo
2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021
142021
Convex optimization with unbounded nonconvex oracles using simulated annealing
O Mangoubi, NK Vishnoi
Conference On Learning Theory, 1086-1124, 2018
142018
Towards optimal convex combination rules for gossiping
O Mangoubi, S Mou, J Liu, AS Morse
2013 American Control Conference, 1261-1265, 2013
92013
Sampling from log-concave distributions with infinity-distance guarantees
O Mangoubi, N Vishnoi
Advances in neural information processing systems 35, 12633-12646, 2022
62022
A second-order equilibrium in nonconvex-nonconcave min-max optimization: Existence and algorithm
O Mangoubi, NK Vishnoi
arXiv preprint arXiv:2006.12363, 2020
62020
Online sampling from log-concave distributions
H Lee, O Mangoubi, N Vishnoi
Advances in Neural Information Processing Systems 32, 2019
62019
Re-analyze Gauss: Bounds for private matrix approximation via Dyson Brownian motion
O Mangoubi, N Vishnoi
Advances in Neural Information Processing Systems 35, 38585-38599, 2022
52022
Dac-ml: domain adaptable continuous meta-learning for urban dynamics prediction
X Zhang, Y Li, X Zhou, O Mangoubi, Z Zhang, V Filardi, J Luo
2021 IEEE International Conference on Data Mining (ICDM), 906-915, 2021
42021
Simple conditions for metastability of continuous Markov chains
O Mangoubi, N Pillai, A Smith
Journal of Applied Probability 58 (1), 83-105, 2021
42021
Sampling from log-concave distributions with infinity-distance guarantees and applications to differentially private optimization
O Mangoubi, NK Vishnoi
arXiv preprint arXiv:2111.04089 31, 2021
42021
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