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Alex Ihler

12 papers · 2012–2022 · 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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+7 more ↓ πŸ—ΊοΈ Taxonomy Completionist (34) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Bronze πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧭 Keyword Pioneer πŸ—ƒοΈ Keyword Collector (62) πŸ“ˆ Trend Setter 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ❓ The Questioner πŸ’Ž Century Club Β· Bronze

Venues

NeurIPS (9) AISTATS (1) ICML (1) UAI (1)

Top co-authors

Qiang Liu (8) Wei Ping (4) Rina Dechter (2) Qi Lou (1) Mark Steyvers (1) Kalev Kask (1) Nicholas Gallo (1) John W. Fisher III (1) Sakshi Agarwal (1) Qiang Cheng (1)

Research topics

Machine Learning (11) Optimization & Theory (11) Core Methods (7) Artificial Intelligence (6) Bayesian & Probabilistic Β· Artificial Intelligence (6) Bayesian & Probabilistic Β· Machine Learning (5) Mathematics & Optimization (4) Learning Types (3) Deep Learning (2) Mathematics (2) Optimization (2) Data Science & Analytics (1) Knowledge & Reasoning (1) Reinforcement Learning (1) Applications (1)

Keywords

graphical model (6) variational inference (4) belief propagation (4) partition function (3) monte carlo method (2) structured prediction (2) convex optimization (2) crowd sourcing (2) restricted boltzmann machine (2) kl divergence (2) contrastive divergence (2) importance sampling (2) kullback-leibler divergence (2) probabilistic inference (2) maximum likelihood estimation (2) maximum likelihood (1) markov decision process (1) marginal map (1) distributed learning (1) matrix factorization (1)

Papers

NeuroBE: Escalating neural network approximations of Bucket Elimination UAI 2022 Lifted Weighted Mini-Bucket NeurIPS 2018 Belief Propagation in Conditional RBMs for Structured Prediction AISTATS 2017 Dynamic Importance Sampling for Anytime Bounds of the Partition Function NeurIPS 2017 Learning Infinite RBMs with Frank-Wolfe NeurIPS 2016 Decomposition Bounds for Marginal MAP NeurIPS 2015 Probabilistic Variational Bounds for Graphical Models NeurIPS 2015 Distributed Estimation, Information Loss and Exponential Families NeurIPS 2014 Marginal Structured SVM with Hidden Variables ICML 2014 Scoring Workers in Crowdsourcing: How Many Control Questions are Enough? NeurIPS 2013 Variational Planning for Graph-based MDPs NeurIPS 2013 Variational Inference for Crowdsourcing NeurIPS 2012