Jonas Rothfuss
14 papers · 2018–2023 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (11)
π§
Keyword Pioneer
π
Conference Polyglot
(7)
π
Academic Marathon
(5)
π€
Dynamic Duo
(12)
β‘
Prolific Year
(6)
π
Century Club
(14)
Conferences
NIPS (3)
CORL (2)
ICLR (2)
ICML (2)
JMLR (2)
UAI (2)
AISTATS (1)
Top co-authors
Keywords
neural network
(3)
causal discovery
(3)
bayesian neural network
(3)
bayesian optimization
(3)
uncertainty quantification
(3)
variational inference
(3)
epistemic uncertainty
(2)
inductive bia
(2)
bayesian inference
(2)
generalization bound
(2)
optimal transport
(1)
sequential decision-making
(1)
causal inference
(1)
causal structure learning
(1)
gradient-based optimization
(1)
reproducing kernel hilbert space
(1)
representation learning
(1)
pac-bayes theory
(1)
gaussian process
(1)
policy gradient
(1)
Papers
Lifelong bandit optimization: no prior and no regret
UAI 2023
BaCaDI: Bayesian Causal Discovery with Unknown Interventions
AISTATS 2023
MARS: Meta-learning as Score Matching in the Function Space
ICLR 2023
Instance-Dependent Generalization Bounds via Optimal Transport
JMLR 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
JMLR 2023
Hallucinated adversarial control for conservative offline policy evaluation
UAI 2023
Meta-Learning Hypothesis Spaces for Sequential Decision-making
ICML 2022
Amortized Inference for Causal Structure Learning
NIPS 2022
Meta-Learning Priors for Safe Bayesian Optimization
CORL 2022
DiBS: Differentiable Bayesian Structure Learning
NIPS 2021
Meta-Learning Reliable Priors in the Function Space
NIPS 2021
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
ICML 2021
ProMP: Proximal Meta-Policy Search
ICLR 2019
Model-Based Reinforcement Learning via Meta-Policy Optimization
CORL 2018