activity
20172024
most citedA Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks

11 citations · 45 across the 25 of their papers we have counts for

collaborators

28 papers

math.CO2024

Equivalence between Erdős-Hajnal and polynomial Rödl and Nikiforov conjectures

Matija Bucić, Jacob Fox, Huy Tuan Pham

It is well-known that polynomial versions of theorems of Rödl and Nikiforov, as conjectured by Fox and Sudakov and Nguyen, Scott and Seymour imply the classical Erdős-Hajnal conjec…

math.CO2024

A question of Erdős and Graham on Egyptian fractions

David Conlon, Jacob Fox, Xiaoyu He +4

Answering a question of Erdős and Graham, we show that for each fixed positive rational number the number of ways to write as a sum of reciprocals of distinct positive inte…

math.CO2024

A multipartite analogue of Dilworth's Theorem

Jacob Fox, Huy Tuan Pham

We prove that every partially ordered set on elements contains subsets such that either each of these subsets has size and, for every…

math.CO2023

Homogeneous structures in subset sums and non-averaging sets

David Conlon, Jacob Fox, Huy Tuan Pham

We show that for every positive integer there are positive constants and such that if is a subset of of size at least , then, for so…

math.PR2023

Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses

Nima Anari, Vishesh Jain, Frederic Koehler +2

We study Glauber dynamics for sampling from discrete distributions on the hypercube . Recently, techniques based on spectral independence have successfully yielded…

cs.DS2023

Optimal mixing of the down-up walk on independent sets of a given size

Vishesh Jain, Marcus Michelen, Huy Tuan Pham +1

Let be a graph on vertices of maximum degree . We show that, for any , the down-up walk on independent sets of size mixes in time $O_{Δ,δ}(k\…

math.CO2023★ 1 cited

Set-coloring Ramsey numbers and error-correcting codes near the zero-rate threshold

David Conlon, Jacob Fox, Huy Tuan Pham +1

For positive integers with , the set-coloring Ramsey number is the minimum such that if every edge of the complete graph receives a set of c…

math.CO2022★ 1 cited

Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings

Vishesh Jain, Huy Tuan Pham

We show that the threshold for the binomial random -partite, -uniform hypergraph to contain a Latin square is . We also prove analogous resul…

math.CO2022

Small subsets with large sumset: Beyond the Cauchy--Davenport bound

Jacob Fox, Sammy Luo, Huy Tuan Pham +1

For a subset of an abelian group , given its size , its doubling , and a parameter which is small compared to , we study the size of the largest s…

math.CO2022★ 3 cited

A Toolkit for Robust Thresholds

Huy Tuan Pham, Ashwin Sah, Mehtaab Sawhney +1

Consider a host hypergraph which contains a spanning structure due to minimum degree considerations. We collect three results proving that if the edges of are sampled at th…

math.PR2022★ 2 cited

On a conjecture of Talagrand on selector processes and a consequence on positive empirical processes

Jinyoung Park, Huy Tuan Pham

For appropriate Gaussian processes, as a corollary of the majorizing measure theorem, Michel Talagrand (1987) proved that the event that the supremum is significantly larger than i…

math.CO2022

A Proof of the Kahn-Kalai Conjecture

Jinyoung Park, Huy Tuan Pham

Proving the ``expectation-threshold'' conjecture of Kahn and Kalai, we show that for any increasing property on a finite set , $$p_c(\mathcal{F})=O(q(\mathcal{F})\…

cs.DS2021

Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities

Nima Anari, Vishesh Jain, Frederic Koehler +2

We introduce a framework for obtaining tight mixing times for Markov chains based on what we call restricted modified log-Sobolev inequalities. Modified log-Sobolev inequalities (M…

cs.LG2021★ 1 cited

Limiting fluctuation and trajectorial stability of multilayer neural networks with mean field training

Huy Tuan Pham, Phan-Minh Nguyen

The mean field (MF) theory of multilayer neural networks centers around a particular infinite-width scaling, where the learning dynamics is closely tracked by the MF limit. A rando…

cs.LG2021★ 4 cited

Global Convergence of Three-layer Neural Networks in the Mean Field Regime

Huy Tuan Pham, Phan-Minh Nguyen

In the mean field regime, neural networks are appropriately scaled so that as the width tends to infinity, the learning dynamics tends to a nonlinear and nontrivial dynamical limit…

cs.DS2021

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

Vishesh Jain, Huy Tuan Pham, Thuy Duong Vuong

We present a new lower bound on the spectral gap of the Glauber dynamics for the Gibbs distribution of a spectrally independent -spin system on a graph with maximum…

math.CO2021★ 2 cited

Subset sums, completeness and colorings

David Conlon, Jacob Fox, Huy Tuan Pham

We develop novel techniques which allow us to prove a diverse range of results relating to subset sums and complete sequences of positive integers, including solutions to several l…

math.PR2021★ 4 cited

Mixing time of fractional random walk on finite fields

Jimmy He, Huy Tuan Pham, Max Wenqiang Xu

We study a random walk on defined by if , and if , where are inde…

cs.DS2021★ 6 cited

On the sampling Lovász Local Lemma for atomic constraint satisfaction problems

Vishesh Jain, Huy Tuan Pham, Thuy-Duong Vuong

We study the problem of sampling an approximately uniformly random satisfying assignment for atomic constraint satisfaction problems i.e. where each constraint is violated by only…

math.PR2021★ 1 cited

Regularity method and large deviation principles for the Erdős--Rényi hypergraph

Nicholas A. Cook, Amir Dembo, Huy Tuan Pham

We develop a quantitative large deviations theory for random hypergraphs, which rests on tensor decomposition and counting lemmas under a novel family of cut-type norms. As our mai…

cs.DS2020

Towards the sampling Lovász Local Lemma

Vishesh Jain, Huy Tuan Pham, Thuy Duong Vuong

Let be a constraint satisfaction problem on variables such that each constraint depends on at most variables and such that each variable…

cs.LG2020★ 1 cited

A Note on the Global Convergence of Multilayer Neural Networks in the Mean Field Regime

Huy Tuan Pham, Phan-Minh Nguyen

In a recent work, we introduced a rigorous framework to describe the mean field limit of the gradient-based learning dynamics of multilayer neural networks, based on the idea of a…

math.CO2020★ 1 cited

Tower-type bounds for Roth's theorem with popular differences

Jacob Fox, Huy Tuan Pham, Yufei Zhao

Green developed an arithmetic regularity lemma to prove a strengthening of Roth's theorem on arithmetic progressions in dense sets. It states that for every there is some $N…

math.NT2020★ 2 cited

Irreducibility of random polynomials of bounded degree

Huy Tuan Pham, Max Wenqiang Xu

It is known that random monic integral polynomials of bounded degree and integral coefficients distributed uniformly and independently in are irreducible over $\mathbb…