Kotlowski, Wojciech

27 publications

CLeaR 2025 The CausalBench Challenge: A Machine Learning Contest for Gene Network Inference from Single-Cell Perturbation Data Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

ICML 2024 A General Online Algorithm for Optimizing Complex Performance Metrics Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski

ICLR 2024 Consistent Algorithms for Multi-Label Classification with Macro-at-$k$ Metrics Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski

NeurIPS 2023 Generalized Test Utilities for Long-Tail Performance in Extreme Multi-Label Classification Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof J. Dembczynski

COLT 2021 Robust Online Convex Optimization in the Presence of Outliers Tim van Erven, Sarah Sachs, Wouter M Koolen, Wojciech Kotlowski

AAAI 2020 Learning to Crawl Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi

ICML 2019 Adaptive Scale-Invariant Online Algorithms for Learning Linear Models Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth

COLT 2018 The Many Faces of Exponential Weights in Online Learning Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski

NeurIPS 2017 Random Permutation Online Isotonic Regression Wojciech Kotlowski, Wouter M. Koolen, Alan Malek

MLJ 2017 Surrogate Regret Bounds for Generalized Classification Performance Metrics Wojciech Kotlowski, Krzysztof Dembczynski

ECML-PKDD 2016 Consistency of Probabilistic Classifier Trees Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier

ALT 2016 On Minimaxity of Follow the Leader Strategy in the Stochastic Setting Wojciech Kotlowski

COLT 2016 Online Isotonic Regression Wojciech Kotlowski

JMLR 2016 Online PCA with Optimal Regret Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth

ACML 2015 Surrogate Regret Bounds for Generalized Classification Performance Metrics Wojciech Kotlowski, Krzysztof Dembczyński

COLT 2014 Follow the Leader with Dropout Perturbations Tim van Erven, Wojciech Kotlowski

COLT 2013 Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski

ALT 2013 Online PCA with Optimal Regrets Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth

ICML 2013 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach Versus Structured Loss Minimization Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Huellermeier

ICML 2012 Consistent Multilabel Ranking Through Univariate Losses Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier

ALT 2012 Kernelization of Matrix Updates, When and How? Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou

ICML 2011 Bipartite Ranking Through Minimization of Univariate Loss Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier

NeurIPS 2011 Learning Eigenvectors for Free Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth

COLT 2010 Following the Flattened Leader Wojciech Kotlowski, Peter Grünwald, Steven de Rooij

ICML 2009 Rule Learning with Monotonicity Constraints Wojciech Kotlowski, Roman Slowinski

ICML 2008 Maximum Likelihood Rule Ensembles Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski

ECML-PKDD 2007 Ordinal Classification with Decision Rules Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski