Robert Kohn

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

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) 🐣 Hot Topic Early Bird

Venues

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

Top co-authors

Matias Quiroz (3) Minh-Ngoc Tran (2) Ryan Thompson (2) Mattias Villani (2) Scott A. Sisson (1) Edwin V. Bonilla (1) Amir Dezfouli (1) Robert Salomone (1) Ming Xu (1) Khue-Dung Dang (1)

Research topics

Machine Learning (4) Artificial Intelligence (2) Deep Learning (2) Mathematics & Optimization (2) Core Methods (2) Optimization & Theory (2) Architectures (1) Bayesian & Probabilistic (1) Core AI (1) Mathematics (1) Models (1) Probability (1)

Keywords

variance reduction (3) bayesian inference (2) markov chain monte carlo (2) causal discovery (1) graph representation (1) gradient estimation (1) posterior distribution (1) time series (1) lasso regression (1) stochastic process (1) contextual modeling (1) hamiltonian monte carlo (1) score function (1) sparse linear model (1) spectral method (1) deep neural network (1) directed acyclic graph (1) reparameterization trick (1) mean-field gaussian (1) contextual feature (1)

Papers

Contextual Directed Acyclic Graphs AISTATS 2024 The Contextual Lasso: Sparse Linear Models via Deep Neural Networks NeurIPS 2023 Spectral Subsampling MCMC for Stationary Time Series ICML 2020 Hamiltonian Monte Carlo with Energy Conserving Subsampling JMLR 2019 Variance reduction properties of the reparameterization trick AISTATS 2019