Jonas M. Kübler

According to our database, Jonas M. Kübler authored at least 13 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Inference Optimization of Foundation Models on AI Accelerators.

Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Meaningful Causal Aggregation and Paradoxical Confounding.

Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing

Proceedings of the Causal Learning and Reasoning, 2024

2023

Learning and Testing Powerful Hypotheses.

Jonas M. Kübler

PhD thesis, 2023

2022

AutoML Two-Sample Test.

Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Causal Inference Through the Structural Causal Marginal Problem.

Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing

Proceedings of the International Conference on Machine Learning, 2022

A Witness Two-Sample Test.

Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Quantum machine learning beyond kernel methods.

Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko

CoRR, 2021

An Optimal Witness Function for Two-Sample Testing.

Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet

CoRR, 2021

The Inductive Bias of Quantum Kernels.

Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

An Adaptive Optimizer for Measurement-Frugal Variational Algorithms.

Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles

Quantum, 2020

Kernel Conditional Moment Test via Maximum Moment Restriction.

Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Learning Kernel Tests Without Data Splitting.

Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Quantum Mean Embedding of Probability Distributions.

Jonas M. Kübler, Krikamol Muandet, Bernhard Schölkopf

CoRR, 2019