Benjamin Letham
10 papers · 2011–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) πΊοΈ Taxonomy Completionist (11) π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (14)
π
Academic Marathon
(14)
π
Cross-Pollinator
(15)
π₯
Mega-Team
(21)
π
Century Club
(10)
π
Conference Pioneer
π
Trend Setter
Conferences
AISTATS (2)
JMLR (2)
AAAI (1)
AUTOML (1)
COLT (1)
ICML (1)
NIPS (1)
UAI (1)
Top co-authors
Research topics
Keywords
gaussian process
(4)
bayesian optimization
(3)
algorithmic stability
(2)
sequential event prediction
(2)
association rule
(2)
supervised learning
(1)
uncertainty quantification
(1)
statistical consistency
(1)
uncertainty reduction
(1)
multi-task gaussian process
(1)
sensitivity analysis
(1)
sparse optimization
(1)
bayesian active learning
(1)
hyperparameter optimization
(1)
sequential prediction
(1)
policy search
(1)
hyperparameter tuning
(1)
bayesian analysis
(1)
gaussian process classification
(1)
statistical learning theory
(1)
Papers
Ax: A Platform for Adaptive Experimentation
AUTOML 2025
Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes
NIPS 2024
Response Time Improves Gaussian Process Models for Perception and Preferences
UAI 2024
Sparse Bayesian optimization
AISTATS 2023
A Semi-parametric Model for Decision Making in High-Dimensional Sensory Discrimination Tasks
AAAI 2023
Look-Ahead Acquisition Functions for Bernoulli Level Set Estimation
AISTATS 2022
Bayesian Optimization for Policy Search via Online-Offline Experimentation
JMLR 2019
Latent Variable Copula Inference for Bundle Pricing from Retail Transaction Data
ICML 2014
Learning Theory Analysis for Association Rules and Sequential Event Prediction
JMLR 2013
Sequential Event Prediction with Association Rules
COLT 2011