Jonas M. Kübler

26 papers A* 5A 2Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	When LLMs get significantly worse: A statistical approach to detect model degradations. CoRR Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. CoRR Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	J	`jnl`	A Proximal Operator for Inducing 2:4-Sparsity. Trans. Mach. Learn. Res. Jonas M. Kübler, Yu-Xiang Wang, Shoham Sabach, Navid Ansari, Matthäus Kleindessner, Kailash Budhathoki, Volkan Cevher, George Karypis
2025	J	`jnl`	Block-Diagonal LoRA for Eliminating Communication Overhead in Tensor Parallel LoRA Serving. CoRR Xinyu Wang, Jonas M. Kübler, Kailash Budhathoki, Yida Wang, Matthäus Kleindessner
2025	J	`jnl`	Multi-Armed Bandits and Quantum Channel Oracles. Quantum Simon Buchholz, Jonas M. Kübler, Bernhard Schölkopf
2025	—	`conf`	Wanda++: Pruning Large Language Models via Regional Gradients. ACL (Findings) Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2025	J	`jnl`	Wanda++: Pruning Large Language Models via Regional Gradients. CoRR Yifan Yang, Kai Zhen, Bhavana Ganesh, Aram Galstyan, Goeric Huybrechts, Markus Müller, Jonas M. Kübler, Rupak Vignesh Swaminathan, Athanasios Mouchtaris, Sravan Babu Bodapati, Nathan Susanj, Zheng Zhang, Jack FitzGerald, Abhishek Kumar
2024	A*	`conf`	Inference Optimization of Foundation Models on AI Accelerators. KDD Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024	J	`jnl`	Inference Optimization of Foundation Models on AI Accelerators. CoRR Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas M. Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis
2024	—	`conf`	Meaningful Causal Aggregation and Paradoxical Confounding. CLeaR Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing
2023	—	`—`	Learning and Testing Powerful Hypotheses. Jonas M. Kübler
2023	J	`jnl`	Meaningful Causal Aggregation and Paradoxical Confounding. CoRR Yuchen Zhu, Kailash Budhathoki, Jonas M. Kübler, Dominik Janzing
2022	A	`conf`	A Witness Two-Sample Test. AISTATS Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
2022	A*	`conf`	AutoML Two-Sample Test. NeurIPS Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf
2022	J	`jnl`	AutoML Two-Sample Test. CoRR Jonas M. Kübler, Vincent Stimper, Simon Buchholz, Krikamol Muandet, Bernhard Schölkopf
2022	A*	`conf`	Causal Inference Through the Structural Causal Marginal Problem. ICML Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing
2022	J	`jnl`	Causal Inference Through the Structural Causal Marginal Problem. CoRR Luigi Gresele, Julius von Kügelgen, Jonas M. Kübler, Elke Kirschbaum, Bernhard Schölkopf, Dominik Janzing
2021	J	`jnl`	An Optimal Witness Function for Two-Sample Testing. CoRR Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
2021	J	`jnl`	Quantum machine learning beyond kernel methods. CoRR Sofiène Jerbi, Lukas J. Fiderer, Hendrik Poulsen Nautrup, Jonas M. Kübler, Hans J. Briegel, Vedran Dunjko
2021	A*	`conf`	The Inductive Bias of Quantum Kernels. NeurIPS Jonas M. Kübler, Simon Buchholz, Bernhard Schölkopf
2020	J	`jnl`	An Adaptive Optimizer for Measurement-Frugal Variational Algorithms. Quantum Jonas M. Kübler, Andrew Arrasmith, Lukasz Cincio, Patrick J. Coles
2020	A	`conf`	Kernel Conditional Moment Test via Maximum Moment Restriction. UAI Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler
2020	J	`jnl`	Kernel Conditional Moment Test via Maximum Moment Restriction. CoRR Krikamol Muandet, Wittawat Jitkrittum, Jonas M. Kübler
2020	A*	`conf`	Learning Kernel Tests Without Data Splitting. NeurIPS Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
2020	J	`jnl`	Learning Kernel Tests Without Data Splitting. CoRR Jonas M. Kübler, Wittawat Jitkrittum, Bernhard Schölkopf, Krikamol Muandet
2019	J	`jnl`	Quantum Mean Embedding of Probability Distributions. CoRR Jonas M. Kübler, Krikamol Muandet, Bernhard Schölkopf