Ich stimme zu, dass diese Seite Cookies verwende. Weitere Informationen finden Sie unter unseren Datenschutzerklärungen .
X
Rothfuss, Jonas
34  Ergebnisse:
Personensuche X
?
1

Data-Efficient Task Generalization via Probabilistic Model-..:

Bhardwaj, Arjun ; Rothfuss, Jonas ; Sukhija, Bhavya...
IEEE Robotics and Automation Letters.  9 (2024)  4 - p. 3918-3925 , 2024
Link: https://doi.org/10.1109/..
 
?
2

Instance-Dependent Generalization Bounds via Optimal Transp..:

Kassraie, Parnian ; Hou, Songyan ; Kratsios, Anastasis..
info:eu-repo/semantics/altIdentifier/wos/001157362700001.  , 2023
Link: https://hdl.handle.net/2..
 
?
3

BaCaDI: Bayesian Causal Discovery with Unknown Intervention:

Hägele, Alexander ; Rothfuss, Jonas ; Lorch, Lars...
info:eu-repo/grantAgreement/EC/H2020/815943.  , 2023
Link: https://hdl.handle.net/2..
 
?
4

MARS: Meta-Learning as Score Matching in the Function Space:

Lehman Pavasovic, Krunoslav ; Rothfuss, Jonas ; Krause, Andreas
info:eu-repo/grantAgreement/SNF/NCCR full proposal/180545.  , 2023
Link: https://hdl.handle.net/2..
 
?
5

Hallucinated Adversarial Control for Conservative Offline P..:

Rothfuss, Jonas ; Sukhija, Bhavya ; Birchler, Tobias..
http://arxiv.org/abs/2303.01076.  , 2023
Link: http://arxiv.org/abs/230..
 
?
6

Data-Efficient Task Generalization via Probabilistic Model-..:

Bhardwaj, Arjun ; Rothfuss, Jonas ; Sukhija, Bhavya...
http://arxiv.org/abs/2311.07558.  , 2023
Link: http://arxiv.org/abs/231..
 
?
7

Amortized Inference for Causal Structure Learning:

Lorch, Lars ; Sussex, Scott ; Rothfuss, Jonas..
http://arxiv.org/abs/2205.12934.  , 2022
Link: http://arxiv.org/abs/220..
 
?
8

Lifelong Bandit Optimization: No Prior and No Regret:

Schur, Felix ; Kassraie, Parnian ; Rothfuss, Jonas.
http://arxiv.org/abs/2210.15513.  , 2022
Link: http://arxiv.org/abs/221..
 
?
9

BaCaDI: Bayesian Causal Discovery with Unknown Intervention:

Hägele, Alexander ; Rothfuss, Jonas ; Lorch, Lars...
http://arxiv.org/abs/2206.01665.  , 2022
Link: http://arxiv.org/abs/220..
 
?
10

MARS: Meta-Learning as Score Matching in the Function Space:

Pavasovic, Krunoslav Lehman ; Rothfuss, Jonas ; Krause, Andreas
http://arxiv.org/abs/2210.13319.  , 2022
Link: http://arxiv.org/abs/221..
 
?
11

Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyp..:

Rothfuss, Jonas ; Josifoski, Martin ; Fortuin, Vincent.
http://arxiv.org/abs/2211.07206.  , 2022
Link: http://arxiv.org/abs/221..
 
?
12

Instance-Dependent Generalization Bounds via Optimal Transp..:

Hou, Songyan ; Kassraie, Parnian ; Kratsios, Anastasis..
http://arxiv.org/abs/2211.01258.  , 2022
Link: http://arxiv.org/abs/221..
 
?
13

Meta-Learning Priors for Safe Bayesian Optimization:

Rothfuss, Jonas ; Koenig, Christopher ; Rupenyan-Vasileva, Alisa Bohos..
info:eu-repo/grantAgreement/SNF/NCCR full proposal/180545.  , 2022
Link: https://hdl.handle.net/2..
 
?
14

PAC-Bayesian Meta-Learning: From Theory to Practice:

Rothfuss, Jonas ; Josifoski, Martin ; Fortuin, Vincent.
info:eu-repo/semantics/altIdentifier/doi/10.48550/arxiv.2211.07206.  , 2022
Link: https://hdl.handle.net/2..
 
?
15

Meta-Learning Priors for Safe Bayesian Optimization:

Rothfuss, Jonas ; Koenig, Christopher ; Rupenyan, Alisa.
http://arxiv.org/abs/2210.00762.  , 2022
Link: http://arxiv.org/abs/221..
 
1-15