Tyler Maunu

7 papers · 2019–2024 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (17) 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) AISTATS (2) COLT (1) JMLR (1)

Top co-authors

Philippe Rigollet (4) Sinho Chewi (3) Thibaut Le Gouic (3) Chen Lu (2) Gilad Lerman (1) Martin Molina-Fructuoso (1) Austin J. Stromme (1) Paul Hand (1) Austin Stromme (1) Mara Daniels (1)

Research topics

Machine Learning (6) Mathematics & Optimization (5) Mathematics (5) Optimization (5) Optimization & Theory (4) Core Methods (3) Deep Learning (1) Models (1)

Keywords

optimal transport (4) gradient descent (3) wasserstein distance (2) convergence rate (2) bures-wasserstein barycenter (2) bayesian inference (1) accelerated optimization (1) stochastic gradient descent (1) markov chain monte carlo (1) langevin dynamics (1) positive semidefinite matrix (1) low-rank matrix (1) low-rank matrix recovery (1) matrix recovery (1) probability measure (1) phase retrieval (1) subspace recovery (1) linear convergence (1) convergence guarantee (1) kernelized gradient flow (1)

Papers

Acceleration and Implicit Regularization in Gaussian Phase Retrieval AISTATS 2024 Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery AISTATS 2023 Score-based Generative Neural Networks for Large-Scale Optimal Transport NeurIPS 2021 Exponential ergodicity of mirror-Langevin diffusions NeurIPS 2020 Gradient descent algorithms for Bures-Wasserstein barycenters COLT 2020 SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence NeurIPS 2020 A Well-Tempered Landscape for Non-convex Robust Subspace Recovery JMLR 2019