Huy Tuan Pham

Orcid: 0000-0003-4659-4345

According to our database1, Huy Tuan Pham authored at least 24 papers between 2020 and 2024.

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Bibliography

2024
On random irregular subgraphs.
Random Struct. Algorithms, July, 2024

Set-Coloring Ramsey Numbers and Error-Correcting Codes Near the Zero-Rate Threshold.
IEEE Trans. Inf. Theory, June, 2024

Small subsets with large sumset: Beyond the Cauchy-Davenport bound.
Comb. Probab. Comput., 2024

Spread blow-up lemma with an application to perturbed random graphs.
CoRR, 2024

Sunflowers in set systems with small VC-dimension.
CoRR, 2024

A multipartite analogue of Dilworth's Theorem.
CoRR, 2024

Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024

2023
Optimal mixing of the down-up walk on independent sets of a given size.
Proceedings of the 64th IEEE Annual Symposium on Foundations of Computer Science, 2023

2022
Spectral independence, coupling, and the spectral gap of the Glauber dynamics.
Inf. Process. Lett., 2022

Robust thresholds: Counting triangle factors and A shorter proof of the robust Corrádi-Hajnal Theorem.
CoRR, 2022

On a conjecture of Talagrand on selector processes and a consequence on positive empirical processes.
CoRR, 2022

Dimension reduction for maximum matchings and the Fastest Mixing Markov Chain.
CoRR, 2022

Entropic independence: optimal mixing of down-up random walks.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022

A Proof of the Kahn-Kalai Conjecture.
Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

2021
Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities.
CoRR, 2021

Entropic Independence in High-Dimensional Expanders: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Polynomials and the Ising Model.
CoRR, 2021

Spectral independence, coupling with the stationary distribution, and the spectral gap of the Glauber dynamics.
CoRR, 2021

On the sampling Lovász Local Lemma for atomic constraint satisfaction problems.
CoRR, 2021

Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Global Convergence of Three-layer Neural Networks in the Mean Field Regime.
Proceedings of the 9th International Conference on Learning Representations, 2021

Towards the sampling Lovász Local Lemma.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

2020
A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime.
CoRR, 2020

A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks.
CoRR, 2020


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