Rothfuss, Jonas

18 publications

AISTATS 2023 BaCaDI: Bayesian Causal Discovery with Unknown Interventions Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause

UAI 2023 Hallucinated Adversarial Control for Conservative Offline Policy Evaluation Jonas Rothfuss, Bhavya Sukhija, Tobias Birchler, Parnian Kassraie, Andreas Krause

JMLR 2023 Instance-Dependent Generalization Bounds via Optimal Transport Songyan Hou, Parnian Kassraie, Anastasis Kratsios, Andreas Krause, Jonas Rothfuss

UAI 2023 Lifelong Bandit Optimization: No Prior and No Regret Felix Schur, Parnian Kassraie, Jonas Rothfuss, Andreas Krause

ICLR 2023 MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause

JMLR 2023 Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, Andreas Krause

NeurIPS 2022 Amortized Inference for Causal Structure Learning Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

NeurIPSW 2022 Amortized Inference for Causal Structure Learning Lars Lorch, Scott Sussex, Jonas Rothfuss, Andreas Krause, Bernhard Schölkopf

NeurIPSW 2022 MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic, Jonas Rothfuss, Andreas Krause

ICML 2022 Meta-Learning Hypothesis Spaces for Sequential Decision-Making Parnian Kassraie, Jonas Rothfuss, Andreas Krause

CoRL 2022 Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss, Christopher Koenig, Alisa Rupenyan, Andreas Krause

NeurIPS 2021 DiBS: Differentiable Bayesian Structure Learning Lars Lorch, Jonas Rothfuss, Bernhard Schölkopf, Andreas Krause

NeurIPS 2021 Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss, Dominique Heyn, Jinfan Chen, Andreas Krause

NeurIPSW 2021 Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss, Dominique Heyn, Jinfan Chen, Andreas Krause

ICML 2021 PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, Andreas Krause

ICMLW 2020 PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees Jonas Rothfuss, Vincent Fortuin, Andreas Krause

ICLR 2019 ProMP: Proximal Meta-Policy Search Jonas Rothfuss, Dennis Lee, Ignasi Clavera, Tamim Asfour, Pieter Abbeel

CoRL 2018 Model-Based Reinforcement Learning via Meta-Policy Optimization Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel