Mateo Diaz

4 papers · 2020–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13)

Venues

NeurIPS (2) AISTATS (1) JMLR (1)

Top co-authors

Joshua Cutler (1) Miles Lubin (1) Haihao Lu (1) Kaizheng Wang (1) Oliver Hinder (1) Dmitriy Drusvyatskiy (1) Eitan Levin (1) Brendan O'Donoghue (1) David Applegate (1) Warren Schudy (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Mathematics & Optimization (2) Optimization (2) Artificial Intelligence (1) Deep Learning (1) Architectures (1) Core AI (1) Core Methods (1) Learning Types (1) Mathematics (1) Techniques (1)

Keywords

non-convex optimization (1) convex optimization (1) minimax optimality (1) algebraic topology (1) linear programming (1) stochastic approximation (1) mixture model (1) asymptotic normality (1) performative prediction (1) first-order method (1) gradient noise (1) group equivariance (1) equivariant neural network (1) matrix-vector multiplication (1) decision-dependent distribution (1) representation stability (1) input dimension (1) elliptical distribution (1) saddle point formulation (1) graph neural network (1)

Papers

Any-dimensional equivariant neural networks AISTATS 2024 Stochastic Approximation with Decision-Dependent Distributions: Asymptotic Normality and Optimality JMLR 2024 Practical Large-Scale Linear Programming using Primal-Dual Hybrid Gradient NeurIPS 2021 Efficient Clustering for Stretched Mixtures: Landscape and Optimality NeurIPS 2020