Michael Kagan

3 papers · 2017–2021 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer

Venues

NeurIPS (2) AISTATS (1)

Top co-authors

Gilles Louppe (2) Atilim Gunes Baydin (1) Sergey Shirobokov (1) Antoine Wehenkel (1) Andrei Ustyuzhanin (1) Maxime Vandegar (1) Vladislav Belavin (1) Kyle Cranmer (1)

Research topics

Machine Learning (3) Deep Learning (2) Optimization & Theory (2) Artificial Intelligence (1) Mathematics & Optimization (1) Application Areas (1) Learning Paradigms (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Optimization (1)

Keywords

stochastic optimization (1) black-box optimization (1) domain adaptation (1) gradient-based optimization (1) likelihood-free inference (1) robust inference (1) differentiable programming (1) inverse problem (1) empirical baye (1) surrogate model (1) simulation-based inference (1) source distribution (1) deep generative model (1) domain shift (1) nuisance parameter (1) adversarial network (1) neural density estimation (1) pivotal property (1) systematic uncertainty (1) differentiable surrogate (1)

Papers

Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference AISTATS 2021 Black-Box Optimization with Local Generative Surrogates NeurIPS 2020 Learning to Pivot with Adversarial Networks NeurIPS 2017