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ORCIDJonas M. Kübler
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Books and Theses
- 2023
[b1]Jonas M. Kübler:
Learning and Testing Powerful Hypotheses. University of Tübingen, Germany, 2023
Journal Articles
- 2020
- [j1]Jonas M. Kübler
, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles:
An Adaptive Optimizer for Measurement-Frugal Variational Algorithms. Quantum 4: 263 (2020)
Conference and Workshop Papers
- 2024
- [c8]Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing:
Meaningful Causal Aggregation and Paradoxical Confounding. CLeaR 2024: 1192-1217 - [c7]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. KDD 2024: 6605-6615 - 2022
- [c6]Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
A Witness Two-Sample Test. AISTATS 2022: 1403-1419 - [c5]Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing:
Causal Inference Through the Structural Causal Marginal Problem. ICML 2022: 7793-7824 - [c4]Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf:
AutoML Two-Sample Test. NeurIPS 2022 - 2021
- [c3]Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf:
The Inductive Bias of Quantum Kernels. NeurIPS 2021: 12661-12673 - 2020
- [c2]Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
Learning Kernel Tests Without Data Splitting. NeurIPS 2020 - [c1]Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler:
Kernel Conditional Moment Test via Maximum Moment Restriction. UAI 2020: 41-50
Informal and Other Publications
- 2024
- [i9]Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis:
Inference Optimization of Foundation Models on AI Accelerators. CoRR abs/2407.09111 (2024) - 2023
- [i8]Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing:
Meaningful Causal Aggregation and Paradoxical Confounding. CoRR abs/2304.11625 (2023) - 2022
- [i7]Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing:
Causal Inference Through the Structural Causal Marginal Problem. CoRR abs/2202.01300 (2022) - [i6]Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf:
AutoML Two-Sample Test. CoRR abs/2206.08843 (2022) - 2021
- [i5]Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
An Optimal Witness Function for Two-Sample Testing. CoRR abs/2102.05573 (2021) - [i4]Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko:
Quantum machine learning beyond kernel methods. CoRR abs/2110.13162 (2021) - 2020
- [i3]Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler:
Kernel Conditional Moment Test via Maximum Moment Restriction. CoRR abs/2002.09225 (2020) - [i2]Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet:
Learning Kernel Tests Without Data Splitting. CoRR abs/2006.02286 (2020) - 2019
- [i1]Jonas M. Kübler, Krikamol Muandet, Bernhard Schölkopf:
Quantum Mean Embedding of Probability Distributions. CoRR abs/1905.13526 (2019)
Coauthor Index
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