Howard Bondell
7 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝
Cross-Pollinator
(15)
Conferences
AISTATS (2)
CLEAR (1)
ECCV (1)
ICLR (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
additive noise model
(2)
causal discovery
(2)
directed acyclic graph
(2)
cross validation
(1)
nonparametric regression
(1)
robust estimation
(1)
missing datum
(1)
markov equivalence class
(1)
monte carlo
(1)
structure learning
(1)
nonlinear causal mechanism
(1)
expectation maximization
(1)
outlier detection
(1)
Papers
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
Causal Discovery with Mixed Linear and Nonlinear Additive Noise Models: A Scalable Approach
CLEAR 2024
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
ICLR 2024
Uncertainty Quantification in Depth Estimation via Constrained Ordinal Regression
ECCV 2022
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models
NIPS 2022
Outlier Detection and Robust Estimation in Nonparametric Regression
AISTATS 2018