← Authors

Alex Ihler

12 papers · 2012–2022 · 4 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (14) πŸ—ΊοΈ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🌍 Conference Polyglot (4) πŸƒ Academic Marathon (10) 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ—ƒοΈ Keyword Collector (55) πŸ’Ž Century Club (12) πŸ”₯ Unstoppable (7) πŸ“ˆ Trend Setter ❓ The Questioner

Conferences

NIPS (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)

Keywords

graphical model (6) belief propagation (4) variational inference (4) partition function (3) crowdsourcing (2) structured prediction (2) importance sampling (2) kl divergence (2) maximum likelihood estimation (2) convex optimization (2) contrastive divergence (2) restricted boltzmann machine (2) probabilistic inference (2) maximum likelihood (1) markov decision process (1) marginal map (1) matrix factorization (1) value iteration (1) distributed learning (1) message passing (1)

Papers

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