Howard Bondell
8 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Bronze
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Taxonomy Completionist
(13)
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Optimization & Theory
(4)
Core AI
(3)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Learning Types
(1)
Mathematics
(1)
Methods
(1)
Models
(1)
Keywords
causal discovery
(2)
additive noise model
(2)
directed acyclic graph
(2)
bayesian inference
(1)
structure learning
(1)
uncertainty quantification
(1)
expectation maximization
(1)
outlier detection
(1)
cross validation
(1)
monte carlo simulation
(1)
nonparametric regression
(1)
density ratio estimation
(1)
monte carlo sampling
(1)
robust estimation
(1)
riemannian manifold
(1)
algorithm
(1)
contextual bandit
(1)
latent variable
(1)
propensity score
(1)
downstream task
(1)
Papers
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
JMLR 2026
Density Ratio Estimation via Sampling along Generalized Geodesics on Statistical Manifolds
AISTATS 2025
MissScore: High-Order Score Estimation in the Presence of Missing Data
ICML 2025
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
ICLR 2024
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach
CLeaR 2024
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
NeurIPS 2022
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
ECCV 2022
Outlier Detection and Robust Estimation in Nonparametric Regression
AISTATS 2018