Volgen
Huy Tuan Pham
Huy Tuan Pham
Stanford University
Geverifieerd e-mailadres voor stanford.edu - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
A rigorous framework for the mean field limit of multilayer neural networks
PM Nguyen, HT Pham
Mathematical Statistics and Learning 6 (3), 201-357, 2023
1072023
A proof of the Kahn–Kalai conjecture
J Park, H Pham
Journal of the American Mathematical Society 37 (1), 235-243, 2024
742024
Entropic independence: optimal mixing of down-up random walks
N Anari, V Jain, F Koehler, HT Pham, TD Vuong
Proceedings of the 54th Annual ACM SIGACT Symposium on Theory of Computing …, 2022
422022
Entropic independence I: Modified log-Sobolev inequalities for fractionally log-concave distributions and high-temperature ising models
N Anari, V Jain, F Koehler, HT Pham, TD Vuong
arXiv preprint arXiv:2106.04105, 2021
282021
Entropic independence in high-dimensional expanders: Modified log-sobolev inequalities for fractionally log-concave polynomials and the ising model
N Anari, V Jain, F Koehler, HT Pham, TD Vuong
arXiv preprint arXiv:2106.04105, 1-6, 2021
262021
Spectral independence, coupling, and the spectral gap of the Glauber dynamics
V Jain, HT Pham, TD Vuong
Information Processing Letters, 2022
25*2022
Global convergence of three-layer neural networks in the mean field regime
HT Pham, PM Nguyen
arXiv preprint arXiv:2105.05228, 2021
252021
Global Convergence of Three-layer Neural Networks in the Mean Field Regime
HT Pham, PM Nguyen
International Conference on Learning Representations (ICLR), 2021
252021
Towards the sampling Lov\'asz Local Lemma
V Jain, HT Pham, TD Vuong
62nd Annual IEEE Symposium on Foundations of Computer Science (FOCS 2021), 2021
242021
Entropic independence ii: optimal sampling and concentration via restricted modified log-Sobolev inequalities
N Anari, V Jain, F Koehler, HT Pham, TD Vuong
arXiv preprint arXiv:2111.03247, 2021
232021
Common and Sidorenko Linear Equations
J Fox, HT Pham, Y Zhao
Quarterly Journal of Mathematics 72, 1223-1234, 2021
212021
A toolkit for robust thresholds
HT Pham, A Sah, M Sawhney, M Simkin
arXiv preprint arXiv:2210.03064, 2022
182022
On the sampling Lov\'asz Local Lemma for atomic constraint satisfaction problems
V Jain, HT Pham, TD Vuong
arXiv preprint arXiv:2102.08342, 2021
182021
Optimal thresholds for Latin squares, Steiner triple systems, and edge colorings
V Jain, HT Pham
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024
172024
Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses
N Anari, V Jain, F Koehler, HT Pham, TD Vuong
Proceedings of the 2024 Annual ACM-SIAM Symposium on Discrete Algorithms …, 2024
162024
Popular progression differences in vector spaces
J Fox, HT Pham
International Mathematics Research Notices, 2019
152019
Regularity method and large deviation principles for the Erdős–Rényi hypergraph
NA Cook, A Dembo, HT Pham
Duke Mathematical Journal 173 (5), 873-946, 2024
142024
Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization
B Huang, A Montanari, HT Pham
arXiv preprint arXiv:2404.15651, 2024
92024
Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training
HT Pham, PM Nguyen
Advances in Neural Information Processing Systems 34, 4843-4855, 2021
92021
Subset sums, completeness and colorings
D Conlon, J Fox, HT Pham
arXiv preprint arXiv:2104.14766, 2021
82021
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20