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Alexander Ihler

20 papers · 2010–2025 · 7 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (15) 🌍 Conference Polyglot (7) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (7) πŸ—ΊοΈ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (10) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (87) πŸš€ Conference Pioneer πŸ’Ž Century Club (20)

Conferences

AISTATS (5) UAI (4) AAAI (3) ICML (3) IJCAI (3) ACML (1) ECCV (1)

Top co-authors

Rina Dechter (10) Radu Marinescu (6) Bobak Pezeshki (4) Noble Kennamer (2) Kalev Kask (2) Padhraic Smyth (2) Qiang Liu (2) Junkyu Lee (1) Jin Tian (1) Filjor Broka (1)

Keywords

graphical model (8) marginal map (4) approximate inference (2) probabilistic inference (2) variational inference (2) best-first search (2) computational protein design (2) boltzmann machine (2) mixed inference (2) anytime algorithm (2) message passing (2) neural architecture (1) sparse estimation (1) sample efficiency (1) model compression (1) parameter estimation (1) importance sampling (1) reinforcement learning (1) branch and bound (1) map inference (1)

Papers

Graph-based Complexity for Causal Effect by Empirical Plug-in AISTATS 2025
Value-Based Abstraction Functions for Abstraction Sampling UAI 2024
Boosting AND/OR-based computational protein design: dynamic heuristics and generalizable UFO UAI 2023
Design Amortization for Bayesian Optimal Experimental Design AAAI 2023
Reducing Variance in Temporal-Difference Value Estimation via Ensemble of Deep Networks ICML 2022
AND/OR branch-and-bound for computational protein design optimizing K* UAI 2022
Be Like Water: Adaptive Floating Point for Machine Learning ICML 2022
Scaling Up AND/OR Abstraction Sampling IJCAI 2020
Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms AAAI 2019
Anytime Recursive Best-First Search for Bounding Marginal MAP AAAI 2019
A Weighted Mini-Bucket Bound for Solving Influence Diagram UAI 2019
Accelerating Dynamic Programs via Nested Benders Decomposition with Application to Multi-Person Pose Estimation ECCV 2018
Stochastic Anytime Search for Bounding Marginal MAP IJCAI 2018
ContextNet: Deep learning for Star Galaxy Classification ICML 2018
Pushing Forward Marginal MAP with Best-First Search IJCAI 2015
Linear Approximation to ADMM for MAP inference ACML 2013
Revisiting MAP Estimation, Message Passing and Perfect Graphs AISTATS 2011
Learning Scale Free Networks by Reweighted $\ell_1$ regularization AISTATS 2011
Multicore Gibbs Sampling in Dense, Unstructured Graphs AISTATS 2011
Learning with Blocks: Composite Likelihood and Contrastive Divergence AISTATS 2010