David Reeb
7 papers · 2018–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Academic Marathon (7) π Interdisciplinary Bridge π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (15)
π§
Keyword Pioneer
π
Trend Setter
Conferences
NIPS (3)
AISTATS (1)
ICLR (1)
ICML (1)
UAI (1)
Top co-authors
Keywords
unsupervised learning
(1)
representation learning
(1)
contrastive learning
(1)
probabilistic modeling
(1)
variational inference
(1)
bayesian inference
(1)
uncertainty quantification
(1)
supervised learning
(1)
marginal likelihood
(1)
regret minimization
(1)
gaussian process
(1)
convex relaxation
(1)
sparse approximation
(1)
maximum mean discrepancy
(1)
convex programming
(1)
generalization bound
(1)
pac-bayesian bound
(1)
distributional discrepancy
(1)
optimism in face of uncertainty
(1)
confidence sequence
(1)
Papers
Tighter Confidence Bounds for Sequential Kernel Regression
AISTATS 2025
Improved Algorithms for Stochastic Linear Bandits Using Tail Bounds for Martingale Mixtures
NIPS 2023
Validation of composite systems by discrepancy propagation
UAI 2023
SOSP: Efficiently Capturing Global Correlations by Second-Order Structured Pruning
ICLR 2022
Utilizing Expert Features for Contrastive Learning of Time-Series Representations
ICML 2022
Beyond the Mean-Field: Structured Deep Gaussian Processes Improve the Predictive Uncertainties
NIPS 2020
Learning Gaussian Processes by Minimizing PAC-Bayesian Generalization Bounds
NIPS 2018