Huy Tuan Pham - RankMe

41 papers A* 9Journal 32

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Multipartite Analogue of Dilworth's Theorem. Order Jacob Fox, Huy Tuan Pham
2026	J	`jnl`	On Graham's rearrangement conjecture. CoRR Huy Tuan Pham, Lisa Sauermann
2025	A*	`conf`	A Sharp Version of Talagrand's Selector Process Conjecture and an Application to Rounding Fractional Covers. STOC Huy Tuan Pham
2025	J	`jnl`	An explicit economical additive basis. Comb. Probab. Comput. Vishesh Jain, Huy Tuan Pham, Mehtaab Sawhney, Dmitrii Zakharov
2025	J	`jnl`	Short proof of the hypergraph container theorem. Comb. Probab. Comput. Rajko Nenadov, Huy Tuan Pham
2025	J	`jnl`	Sunflowers in Set Systems with Small VC-Dimension. Comb. József Balogh, Anton Bernshteyn, Michelle Delcourt, Asaf Ferber, Huy Tuan Pham
2025	J	`jnl`	The Largest Subgraph Without A Forbidden Induced Subgraph. Comb. Jacob Fox, Rajko Nenadov, Huy Tuan Pham
2024	J	`jnl`	A multipartite analogue of Dilworth's Theorem. CoRR Jacob Fox, Huy Tuan Pham
2024	J	`jnl`	A sharp version of Talagrand's selector process conjecture and an application to rounding fractional covers. CoRR Huy Tuan Pham
2024	J	`jnl`	On random irregular subgraphs. Random Struct. Algorithms Jacob Fox, Sammy Luo, Huy Tuan Pham
2024	J	`jnl`	On the clique number of random Cayley graphs and related topics. CoRR David Conlon, Jacob Fox, Huy Tuan Pham, Liana Yepremyan
2024	A*	`conf`	Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings. SODA Vishesh Jain, Huy Tuan Pham
2024	J	`jnl`	Set-Coloring Ramsey Numbers and Error-Correcting Codes Near the Zero-Rate Threshold. IEEE Trans. Inf. Theory David Conlon, Jacob Fox, Huy Tuan Pham, Yufei Zhao
2024	J	`jnl`	Small subsets with large sumset: Beyond the Cauchy-Davenport bound. Comb. Probab. Comput. Jacob Fox, Sammy Luo, Huy Tuan Pham, Yunkun Zhou
2024	J	`jnl`	Spread blow-up lemma with an application to perturbed random graphs. CoRR Rajko Nenadov, Huy Tuan Pham
2024	J	`jnl`	Sunflowers in set systems with small VC-dimension. CoRR József Balogh, Anton Bernshteyn, Michelle Delcourt, Asaf Ferber, Huy Tuan Pham
2024	A*	`conf`	Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses. SODA Nima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham, Thuy-Duong Vuong
2023	A*	`conf`	Optimal mixing of the down-up walk on independent sets of a given size. FOCS Vishesh Jain, Marcus Michelen, Huy Tuan Pham, Thuy-Duong Vuong
2023	J	`jnl`	Optimal mixing of the down-up walk on independent sets of a given size. CoRR Vishesh Jain, Marcus Michelen, Huy Tuan Pham, Thuy-Duong Vuong
2023	J	`jnl`	Set-coloring Ramsey numbers and error-correcting codes near the zero-rate threshold. CoRR David Conlon, Jacob Fox, Huy Tuan Pham, Yufei Zhao
2023	J	`jnl`	Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses. CoRR Nima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham, Thuy-Duong Vuong
2022	A*	`conf`	A Proof of the Kahn-Kalai Conjecture. FOCS Jinyoung Park, Huy Tuan Pham
2022	J	`jnl`	A Proof of the Kahn-Kalai Conjecture. CoRR Jinyoung Park, Huy Tuan Pham
2022	J	`jnl`	Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain. CoRR Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong
2022	A*	`conf`	Entropic independence: optimal mixing of down-up random walks. STOC Nima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham, Thuy-Duong Vuong
2022	J	`jnl`	On a conjecture of Talagrand on selector processes and a consequence on positive empirical processes. CoRR Jinyoung Park, Huy Tuan Pham
2022	J	`jnl`	Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings. CoRR Vishesh Jain, Huy Tuan Pham
2022	J	`jnl`	Robust thresholds: Counting triangle factors and A shorter proof of the robust Corrádi-Hajnal Theorem. CoRR Huy Tuan Pham
2022	J	`jnl`	Spectral independence, coupling, and the spectral gap of the Glauber dynamics. Inf. Process. Lett. Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong
2021	J	`jnl`	Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities. CoRR Nima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham, Thuy-Duong Vuong
2021	J	`jnl`	Entropic Independence in High-Dimensional Expanders: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Polynomials and the Ising Model. CoRR Nima Anari, Vishesh Jain, Frederic Koehler, Huy Tuan Pham, Thuy-Duong Vuong
2021	A*	`conf`	Global Convergence of Three-layer Neural Networks in the Mean Field Regime. ICLR Huy Tuan Pham, Phan-Minh Nguyen
2021	J	`jnl`	Global Convergence of Three-layer Neural Networks in the Mean Field Regime. CoRR Huy Tuan Pham, Phan-Minh Nguyen
2021	A*	`conf`	Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training. NeurIPS Huy Tuan Pham, Phan-Minh Nguyen
2021	J	`jnl`	Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training. CoRR Huy Tuan Pham, Phan-Minh Nguyen
2021	J	`jnl`	On the sampling Lovász Local Lemma for atomic constraint satisfaction problems. CoRR Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong
2021	J	`jnl`	Spectral independence, coupling with the stationary distribution, and the spectral gap of the Glauber dynamics. CoRR Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong
2021	A*	`conf`	Towards the sampling Lovász Local Lemma. FOCS Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong
2020	J	`jnl`	A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime. CoRR Huy Tuan Pham, Phan-Minh Nguyen
2020	J	`jnl`	A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks. CoRR Phan-Minh Nguyen, Huy Tuan Pham
2020	J	`jnl`	Towards the sampling Lovász Local Lemma. CoRR Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong