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Huy Tuan Pham

  1. A Rigorous Framework for the Mean Field Limit of Multilayer Neural Networks
    2020/01/30 by Phan-Minh Nguyen, Huy Tuan Pham, Nguyen, Phan-Minh +1 · 5 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Model Reduction and Neural Networks #Probability (math.PR) #Statistical Mechanics (cond-mat.stat-mech) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
  2. A Toolkit for Robust Thresholds
    2022/10/06 by Huy Tuan Pham, Pham, Huy Tuan, Sah, Ashwin +2 · 6 citations
    Computer Science · Mathematics · #Combinatorics (math.CO) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Limits and Structures in Graph Theory #Probability (math.PR) #Stochastic processes and statistical mechanics #Topological and Geometric Data Analysis
  3. Sampling from Spherical Spin Glasses in Total Variation via Algorithmic Stochastic Localization
    2024/04/24 by Brice Huang, Andrea Montanari, Huang, Brice +3 · 6 citations
    Engineering · #3D Shape Modeling and Analysis #Surface Roughness and Optical Measurements
  4. Optimal thresholds for Latin squares, Steiner Triple Systems, and edge colorings
    2022/12/12 by Vishesh Jain, Huy Tuan Pham, Jain, Vishesh +1 · 3 citations
    Computer Science · Engineering · Mathematics · #Coding theory and cryptography #Combinatorics (math.CO) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Limits and Structures in Graph Theory #Probability (math.PR) #graph theory and CDMA systems
  5. Global Convergence of Three-layer Neural Networks in the Mean Field\n Regime
    2021/05/11 by Huy Tuan Pham, Pham, Huy Tuan, Phan-Minh Nguyen +1 · 2 citations
    Computer Science · Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks #Statistical Mechanics (cond-mat.stat-mech) #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
  6. On a conjecture of Talagrand on selector processes and a consequence on positive empirical processes
    2022/04/21 by Jinyoung Park, Park, Jinyoung, Huy Tuan Pham +1 · 2 citations
    Economics, Econometrics and Finance · Mathematics · #(Primary) 60G70 #(Secondary) 60C05 #60E15 #60G15 #60G17 #Combinatorics (math.CO) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Point processes and geometric inequalities #Probability (math.PR) #Stochastic processes and financial applications
  7. A sharp version of Talagrand's selector process conjecture and an application to rounding fractional covers
    2024/12/04 by Huy Tuan Pham, Pham, Huy Tuan · 3 citations
    Mathematics · Engineering · #Mathematical Approximation and Integration #Advanced Numerical Analysis Techniques
  8. Sunflowers in set systems with small VC-dimension
    2024/08/08 by József Balogh, Anton Bernshteyn, Balogh, József +7 · 3 citations
    Business, Management and Accounting · Social Sciences · #Advanced Queuing Theory Analysis #Combinatorics (math.CO) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics #Probability (math.PR) #Transportation Planning and Optimization
  9. Regularity method and large deviation principles for the Erdős--Rényi hypergraph
    2021/02/18 by Nicholas A. Cook, Cook, Nicholas A., Amir Dembo +3 · 1 citation
    Decision Sciences · Mathematics · #05C65 #60B20 #60C05 #60F10 #Combinatorics (math.CO) #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Probability and Risk Models #Stochastic processes and statistical mechanics