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Wojciech Kotlowski
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- unicode name: Wojciech Kotłowski
- affiliation: Poznań University of Technology, Institute of Computing Science
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2020 – today
- 2024
- [c48]Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski:
Consistent algorithms for multi-label classification with macro-at-k metrics. ICLR 2024 - [c47]Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski:
A General Online Algorithm for Optimizing Complex Performance Metrics. ICML 2024 - [i20]Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski:
Consistent algorithms for multi-label classification with macro-at-k metrics. CoRR abs/2401.16594 (2024) - [i19]Manfred K. Warmuth, Wojciech Kotlowski, Matt Jones, Ehsan Amid:
Noise misleads rotation invariant algorithms on sparse targets. CoRR abs/2403.02697 (2024) - [i18]Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski:
A General Online Algorithm for Optimizing Complex Performance Metrics. CoRR abs/2406.14743 (2024) - 2023
- [c46]Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski:
Generalized test utilities for long-tail performance in extreme multi-label classification. NeurIPS 2023 - [i17]Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf 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:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - [i16]Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski:
Generalized test utilities for long-tail performance in extreme multi-label classification. CoRR abs/2311.05081 (2023) - 2022
- [i15]Ehsan Amid, Rohan Anil, Wojciech Kotlowski, Manfred K. Warmuth:
Learning from Randomly Initialized Neural Network Features. CoRR abs/2202.06438 (2022) - 2021
- [c45]Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid:
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer. ALT 2021: 1214-1236 - [c44]Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski:
Robust Online Convex Optimization in the Presence of Outliers. COLT 2021: 4174-4194 - [i14]Tim van Erven, Sarah Sachs, Wouter M. Koolen, Wojciech Kotlowski:
Robust Online Convex Optimization in the Presence of Outliers. CoRR abs/2107.01881 (2021) - 2020
- [j10]Wojciech Kotlowski:
Scale-invariant unconstrained online learning. Theor. Comput. Sci. 808: 139-158 (2020) - [c43]Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi:
Learning to Crawl. AAAI 2020: 6046-6053 - [c42]Tim van Erven, Dirk van der Hoeven, Wojciech Kotlowski, Wouter M. Koolen:
Open Problem: Fast and Optimal Online Portfolio Selection. COLT 2020: 3864-3869 - [i13]Manfred K. Warmuth, Wojciech Kotlowski, Ehsan Amid:
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer. CoRR abs/2010.08625 (2020)
2010 – 2019
- 2019
- [c41]Wojciech Kotlowski, Gergely Neu:
Bandit Principal Component Analysis. COLT 2019: 1994-2024 - [c40]Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth:
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models. ICML 2019: 3321-3330 - [i12]Wojciech Kotlowski, Gergely Neu:
Bandit Principal Component Analysis. CoRR abs/1902.03035 (2019) - [i11]Michal Kempka, Wojciech Kotlowski, Manfred K. Warmuth:
Adaptive scale-invariant online algorithms for learning linear models. CoRR abs/1902.07528 (2019) - [i10]Utkarsh Upadhyay, Róbert Busa-Fekete, Wojciech Kotlowski, Dávid Pál, Balázs Szörényi:
Learning to Crawl. CoRR abs/1905.12781 (2019) - 2018
- [j9]Wojciech Kotlowski:
On minimaxity of Follow the Leader strategy in the stochastic setting. Theor. Comput. Sci. 742: 50-65 (2018) - [c39]Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski:
The Many Faces of Exponential Weights in Online Learning. COLT 2018: 2067-2092 - [c38]Monika Grabowska, Wojciech Kotlowski:
Online Principal Component Analysis for Evolving Data Streams. ISCIS 2018: 130-137 - [i9]Dirk van der Hoeven, Tim van Erven, Wojciech Kotlowski:
The Many Faces of Exponential Weights in Online Learning. CoRR abs/1802.07543 (2018) - 2017
- [j8]Wojciech Kotlowski, Krzysztof Dembczynski:
Surrogate regret bounds for generalized classification performance metrics. Mach. Learn. 106(4): 549-572 (2017) - [c37]Wojciech Kotlowski:
Scale-Invariant Unconstrained Online Learning. ALT 2017: 412-433 - [c36]Krzysztof Dembczynski, Wojciech Kotlowski, Oluwasanmi Koyejo, Nagarajan Natarajan:
Consistency Analysis for Binary Classification Revisited. ICML 2017: 961-969 - [c35]Wojciech Kotlowski, Wouter M. Koolen, Alan Malek:
Random Permutation Online Isotonic Regression. NIPS 2017: 4180-4189 - [i8]Wojciech Kotlowski:
Scale-invariant unconstrained online learning. CoRR abs/1708.07042 (2017) - 2016
- [j7]Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth:
Online PCA with Optimal Regret. J. Mach. Learn. Res. 17: 173:1-173:49 (2016) - [c34]Wojciech Kotlowski:
On Minimaxity of Follow the Leader Strategy in the Stochastic Setting. ALT 2016: 261-275 - [c33]Wojciech Kotlowski:
Online Isotonic Regression. COLT 2016: 1165-1189 - [c32]Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman, Róbert Busa-Fekete, Eyke Hüllermeier:
Consistency of Probabilistic Classifier Trees. ECML/PKDD (2) 2016: 511-526 - [i7]Wojciech Kotlowski, Wouter M. Koolen, Alan Malek:
Online Isotonic Regression. CoRR abs/1603.04190 (2016) - 2015
- [c31]Wojciech Kotlowski, Krzysztof Dembczynski:
Surrogate regret bounds for generalized classification performance metrics. ACML 2015: 301-316 - [i6]Wojciech Kotlowski, Krzysztof Dembczynski:
Surrogate regret bounds for generalized classification performance metrics. CoRR abs/1504.07272 (2015) - [i5]Wojciech Kotlowski, Manfred K. Warmuth:
PCA with Gaussian perturbations. CoRR abs/1506.04855 (2015) - 2014
- [j6]Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou:
Kernelization of matrix updates, when and how? Theor. Comput. Sci. 558: 159-178 (2014) - [c30]Tim van Erven, Wojciech Kotlowski:
Follow the Leader with Dropout Perturbations. COLT 2014: 949-974 - [c29]Wojciech Kotlowski:
Consistent optimization of AMS by logistic loss minimization. HEPML@NIPS 2014: 99-108 - [i4]Wojciech Kotlowski:
Consistent optimization of AMS by logistic loss minimization. CoRR abs/1412.2106 (2014) - 2013
- [j5]Wojciech Kotlowski, Roman Slowinski:
On Nonparametric Ordinal Classification with Monotonicity Constraints. IEEE Trans. Knowl. Data Eng. 25(11): 2576-2589 (2013) - [c28]Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth:
Online PCA with Optimal Regrets. ALT 2013: 98-112 - [c27]Peter L. Bartlett, Peter Grünwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski:
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families. COLT 2013: 639-661 - [c26]Krzysztof Dembczynski, Wojciech Kotlowski, Przemyslaw Gawel, Adam Szarecki, Andrzej Jaszkiewicz:
Matrix Factorization for Travel Time Estimation in Large Traffic Networks. ICAISC (2) 2013: 500-510 - [c25]Krzysztof Dembczynski, Arkadiusz Jachnik, Wojciech Kotlowski, Willem Waegeman, Eyke Hüllermeier:
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization. ICML (3) 2013: 1130-1138 - [i3]Peter L. Bartlett, Peter Grunwald, Peter Harremoës, Fares Hedayati, Wojciech Kotlowski:
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families. CoRR abs/1305.4324 (2013) - [i2]Jiazhong Nie, Wojciech Kotlowski, Manfred K. Warmuth:
On-line PCA with Optimal Regrets. CoRR abs/1306.3895 (2013) - 2012
- [c24]Przemyslaw Gawel, Krzysztof Dembczynski, Wojciech Kotlowski, Marek Kubiak, Robert Susmaga, Piotr Zielniewicz, Andrzej Jaszkiewicz:
Community Traffic: A Technology for the Next Generation Car Navigation. ADBIS Workshops 2012: 339-348 - [c23]Manfred K. Warmuth, Wojciech Kotlowski, Shuisheng Zhou:
Kernelization of Matrix Updates, When and How? ALT 2012: 350-364 - [c22]Krzysztof Dembczynski, Wojciech Kotlowski, Eyke Hüllermeier:
Consistent Multilabel Ranking through Univariate Losses. ICML 2012 - [c21]Wojciech Kotlowski, Peter Grünwald:
Sequential normalized maximum likelihood in log-loss prediction. ITW 2012: 547-551 - 2011
- [c20]Wojciech Kotlowski, Krzysztof Dembczynski, Eyke Hüllermeier:
Bipartite Ranking through Minimization of Univariate Loss. ICML 2011: 1113-1120 - [c19]Wouter M. Koolen, Wojciech Kotlowski, Manfred K. Warmuth:
Learning Eigenvectors for Free. NIPS 2011: 945-953 - [c18]Wojciech Kotlowski, Peter Grünwald:
Maximum Likelihood vs. Sequential Normalized Maximum Likelihood in On-line Density Estimation. COLT 2011: 457-476 - [c17]Peter D. Grünwald, Wojciech Kotlowski:
Bounds on Individual Risk for Log-loss Predictors. COLT 2011: 813-816 - [c16]Wojciech Kotlowski, Manfred K. Warmuth:
Minimax Algorithm for Learning Rotations. COLT 2011: 821-824 - 2010
- [j4]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
ENDER: a statistical framework for boosting decision rules. Data Min. Knowl. Discov. 21(1): 52-90 (2010) - [c15]Wojciech Kotlowski, Peter Grünwald, Steven de Rooij:
Following the Flattened Leader. COLT 2010: 106-118 - [c14]Peter Grunwald, Wojciech Kotlowski:
Prequential plug-in codes that achieve optimal redundancy rates even if the model is wrong. ISIT 2010: 1383-1387 - [p2]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag:
Learning of Rule Ensembles for Multiple Attribute Ranking Problems. Preference Learning 2010: 217-247 - [p1]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Beyond Sequential Covering - Boosted Decision Rules. Advances in Machine Learning I 2010: 209-225 - [i1]Peter Grünwald, Wojciech Kotlowski:
Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong. CoRR abs/1002.0757 (2010)
2000 – 2009
- 2009
- [j3]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Learning Rule Ensembles for Ordinal Classification with Monotonicity Constraints. Fundam. Informaticae 94(2): 163-178 (2009) - [c13]Wojciech Kotlowski, Roman Slowinski:
Rule learning with monotonicity constraints. ICML 2009: 537-544 - 2008
- [j2]Krzysztof Dembczynski, Wojciech Kotlowski, Marcin Sydow:
Effective Prediction of Web User Behaviour with User-Level Models. Fundam. Informaticae 89(2-3): 189-206 (2008) - [j1]Wojciech Kotlowski, Krzysztof Dembczynski, Salvatore Greco, Roman Slowinski:
Stochastic dominance-based rough set model for ordinal classification. Inf. Sci. 178(21): 4019-4037 (2008) - [c12]Wojciech Jaskowski, Wojciech Kotlowski:
On selecting the best individual in noisy environments. GECCO 2008: 961-968 - [c11]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Solving Regression by Learning an Ensemble of Decision Rules. ICAISC 2008: 533-544 - [c10]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Maximum likelihood rule ensembles. ICML 2008: 224-231 - [c9]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Ensemble of Decision Rules for Ordinal Classification with Monotonicity Constraints. RSKT 2008: 260-267 - 2007
- [c8]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Ordinal Classification with Decision Rules. MCD 2007: 169-181 - [c7]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Statistical Model for Rough Set Approach to Multicriteria Classification. PKDD 2007: 164-175 - [c6]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Relationship Between Loss Functions and Confirmation Measures. RSFDGrC 2007: 338-345 - [c5]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Optimized Generalized Decision in Dominance-Based Rough Set Approach. RSKT 2007: 118-125 - 2006
- [c4]Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Mariusz Pawlowski:
Mining Direct Marketing Data by Ensembles of Weak Learners and Rough Set Methods. DaWaK 2006: 218-227 - [c3]Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski:
Additive Preference Model with Piecewise Linear Components Resulting from Dominance-Based Rough Set Approximations. ICAISC 2006: 499-508 - [c2]Jerzy Blaszczynski, Krzysztof Dembczynski, Wojciech Kotlowski, Roman Slowinski, Marcin Szelag:
Ensembles of Decision Rules for Solving Binary Classification Problems in the Presence of Missing Values. RSCTC 2006: 224-234 - [c1]Krzysztof Dembczynski, Salvatore Greco, Wojciech Kotlowski, Roman Slowinski:
Quality of Rough Approximation in Multi-criteria Classification Problems. RSCTC 2006: 318-327
Coauthor Index
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last updated on 2024-09-13 00:39 CEST by the dblp team
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