Alexander Ihler
20 papers · 2010–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (15) π§ Keyword Pioneer π Conference Polyglot (7)
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(15)
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Keyword Pioneer
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(10)
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Topic Evolution
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ποΈ
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(87)
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Conference Pioneer
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Century Club
(20)
Conferences
AISTATS (5)
UAI (4)
AAAI (3)
ICML (3)
IJCAI (3)
ACML (1)
ECCV (1)
Top co-authors
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