Jackson Gorham

6 papers · 2015–2021 · 3 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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+3 more ↓

🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird

🏆 Keyword Champion (2) 🔥 Unstoppable · Bronze 📈 Trend Setter

Venues

ICML (3) NeurIPS (2) AISTATS (1)

Top co-authors

Lester Mackey (4) Chris Oates (3) François-Xavier Briol (2) Wilson Ye Chen (2) Anant Raj (1) Onur Teymur (1) Mark Girolami (1) Lester W. Mackey (1) Alessandro Barp (1) Marina Riabiz (1)

Research topics

Machine Learning (5) Optimization & Theory (5) Mathematics & Optimization (4) Mathematics (3) Optimization (3) Artificial Intelligence (2) Bayesian & Probabilistic · Artificial Intelligence (2) Bayesian & Probabilistic · Machine Learning (2) Core Methods (2) Learning Types (1)

Keywords

markov chain monte carlo (5) stein discrepancy (4) kernel stein discrepancy (2) kernel methods (2) stein method (2) sample quality (2) reproducing kernel (1) posterior approximation (1) sequential sampling (1) conditional gradient (1) greedy optimization (1) greedy algorithm (1) bias-variance tradeoff (1) stein variational gradient descent (1) empirical measure (1) weak convergence (1) probability approximation (1) sequential algorithm (1) representative point (1) stein's method (1)

Papers

Optimal Quantisation of Probability Measures Using Maximum Mean Discrepancy AISTATS 2021 Stochastic Stein Discrepancies NeurIPS 2020 Stein Point Markov Chain Monte Carlo ICML 2019 Stein Points ICML 2018 Measuring Sample Quality with Kernels ICML 2017 Measuring Sample Quality with Stein's Method NeurIPS 2015