Niklas Pfister

31 papers A* 4A 2Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Boosted Control Functions: Distribution Generalization and Invariance in Confounded Models. J. Mach. Learn. Res. Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister
2026	J	`jnl`	Invariance-Based Dynamic Regret Minimization. CoRR Margherita Lazzaretto, Jonas Peters, Niklas Pfister
2026	J	`jnl`	Many Experiments, Few Repetitions, Unpaired Data, and Sparse Effects: Is Causal Inference Possible? CoRR Felix Schur, Niklas Pfister, Peng Ding, Sach Mukherjee, Jonas Peters
2025	J	`jnl`	Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents. CoRR Julia Bazinska, Max Mathys, Francesco Casucci, Mateo Rojas-Carulla, Xander Davies, Alexandra Souly, Niklas Pfister
2025	A*	`conf`	Fast Estimation of Partial Dependence Functions using Trees. ICML Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu
2025	A*	`conf`	Gandalf the Red: Adaptive Security for LLMs. ICML Niklas Pfister, Václav Volhejn, Manuel Knott, Santiago Arias, Julia Bazinska, Mykhailo Bichurin, Alan Y. Commike, Janet Darling, Peter Dienes, Matthew Fiedler, David Haber, Matthias Kraft, Marco Lancini, Max Mathys, Damián Pascual-Ortiz, Jakub Podolak, Adrià Romero-López, Kyriacos Shiarlis, Andreas Signer, Zsolt Terek, Athanasios Theocharis, Daniel Timbrell, Samuel Trautwein, Samuel Watts, Yun-Han Wu, Mateo Rojas-Carulla
2025	J	`jnl`	Gandalf the Red: Adaptive Security for LLMs. CoRR Niklas Pfister, Václav Volhejn, Manuel Knott, Santiago Arias, Julia Bazinska, Mykhailo Bichurin, Alan Commike, Janet Darling, Peter Dienes, Matthew Fiedler, David Haber, Matthias Kraft, Marco Lancini, Max Mathys, Damián Pascual-Ortiz, Jakub Podolak, Adrià Romero-López, Kyriacos Shiarlis, Andreas Signer, Zsolt Terek, Athanasios Theocharis, Daniel Timbrell, Samuel Trautwein, Samuel Watts, Yun-Han Wu, Mateo Rojas-Carulla
2025	J	`jnl`	Invariant Subspace Decomposition. J. Mach. Learn. Res. Margherita Lazzaretto, Jonas Peters, Niklas Pfister
2025	A	`conf`	Sparse Causal Effect Estimation using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding. AISTATS Shimeng Huang, Niklas Pfister, Jack Bowden
2024	J	`jnl`	Effect-Invariant Mechanisms for Policy Generalization. J. Mach. Learn. Res. Sorawit Saengkyongam, Niklas Pfister, Predrag Klasnja, Susan A. Murphy, Jonas Peters
2024	J	`jnl`	Fast Estimation of Partial Dependence Functions using Trees. CoRR Jinyang Liu, Tessa Steensgaard, Marvin N. Wright, Niklas Pfister, Munir Hiabu
2024	A*	`conf`	Identifying Representations for Intervention Extrapolation. ICLR Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Kumar Ravikumar, Niklas Pfister, Jonas Peters
2024	J	`jnl`	Invariant Subspace Decomposition. CoRR Margherita Lazzaretto, Jonas Peters, Niklas Pfister
2023	J	`jnl`	Boosted Control Functions. CoRR Nicola Gnecco, Jonas Peters, Sebastian Engelke, Niklas Pfister
2023	J	`jnl`	Effect-Invariant Mechanisms for Policy Generalization. CoRR Sorawit Saengkyongam, Niklas Pfister, Predrag V. Klasnja, Susan A. Murphy, Jonas Peters
2023	J	`jnl`	Identifying Representations for Intervention Extrapolation. CoRR Sorawit Saengkyongam, Elan Rosenfeld, Pradeep Ravikumar, Niklas Pfister, Jonas Peters
2023	J	`jnl`	Invariant Policy Learning: A Causal Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister
2023	J	`jnl`	Supervised learning and model analysis with compositional data. PLoS Comput. Biol. Shimeng Huang, Elisabeth Ailer, Niki Kilbertus, Niklas Pfister
2022	J	`jnl`	A Causal Framework for Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Rune Christiansen, Niklas Pfister, Martin Emil Jakobsen, Nicola Gnecco, Jonas Peters
2022	—	`ch.`	Causal Models for Dynamical Systems. Probabilistic and Causal Inference Jonas Peters, Stefan Bauer, Niklas Pfister
2022	A*	`conf`	Exploiting Independent Instruments: Identification and Distribution Generalization. ICML Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters
2022	J	`jnl`	Exploiting Independent Instruments: Identification and Distribution Generalization. CoRR Sorawit Saengkyongam, Leonard Henckel, Niklas Pfister, Jonas Peters
2022	A	`conf`	Identifiability of sparse causal effects using instrumental variables. UAI Niklas Pfister, Jonas Peters
2022	J	`jnl`	Interpreting tree ensemble machine learning models with endoR. PLoS Comput. Biol. Albane Ruaud, Niklas Pfister, Ruth E. Ley, Nicholas D. Youngblut
2022	J	`jnl`	Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. CoRR Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
2022	J	`jnl`	Supervised Learning and Model Analysis with Compositional Data. CoRR Shimeng Huang, Elisabeth Ailer, Niki Kilbertus, Niklas Pfister
2021	J	`jnl`	Invariant Policy Learning: A Causal Perspective. CoRR Sorawit Saengkyongam, Nikolaj Thams, Jonas Peters, Niklas Pfister
2021	—	`conf`	Learning by Doing: Controlling a Dynamical System using Causality, Control, and Reinforcement Learning. NeurIPS (Competition and Demos) Sebastian Weichwald, Søren Wengel Mogensen, Tabitha Edith Lee, Dominik Baumann, Oliver Kroemer, Isabelle Guyon, Sebastian Trimpe, Jonas Peters, Niklas Pfister
2019	J	`jnl`	Robustifying Independent Component Analysis by Adjusting for Group-Wise Stationary Noise. J. Mach. Learn. Res. Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf
2018	J	`jnl`	Identifying Causal Structure in Large-Scale Kinetic Systems. CoRR Niklas Pfister, Stefan Bauer, Jonas Peters
2018	J	`jnl`	groupICA: Independent component analysis for grouped data. CoRR Niklas Pfister, Sebastian Weichwald, Peter Bühlmann, Bernhard Schölkopf