Daniel Huhn
8 papers · 2013–2023 · 1 venue · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Keyword Champion
π
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(8)
Mathematics & Optimization
(5)
Optimization
(5)
Learning Types
(3)
Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Reinforcement Learning
(1)
Application Areas
(1)
Applications
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Core Methods
(1)
Learning Paradigms
(1)
Mathematics
(1)
Keywords
distributionally robust optimization
(6)
convex optimization
(2)
wasserstein ambiguity
(2)
bayesian inference
(2)
kullback-leibler divergence
(2)
kalman filter
(2)
wasserstein distance
(2)
robust optimization
(2)
conic programming
(1)
dynamic programming
(1)
federated learning
(1)
nonparametric inference
(1)
nash equilibrium
(1)
posterior inference
(1)
cost-to-go function
(1)
robust classification
(1)
distribution shift
(1)
distributionally robust
(1)
kernel regression
(1)
logistic regression
(1)
Papers
Contextual Stochastic Bilevel Optimization
NeurIPS 2023
Distributionally Robust Linear Quadratic Control
NeurIPS 2023
Robust Generalization despite Distribution Shift via Minimum Discriminating Information
NeurIPS 2021
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
NeurIPS 2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
NeurIPS 2019
Wasserstein Distributionally Robust Kalman Filtering
NeurIPS 2018
Distributionally Robust Logistic Regression
NeurIPS 2015
Robust Data-Driven Dynamic Programming
NeurIPS 2013