Marek Wydmuch

25 papers A* 6A 1Journal 16Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Small molecule retrieval from tandem mass spectrometry: what are we optimizing for?
CoRR
Gaetan De Waele, Marek Wydmuch, Krzysztof Dembczynski, Wojciech Kotlowski, Willem Waegeman
2025 J jnl
Query and Conquer: Execution-Guided SQL Generation.
CoRR
Lukasz Borchmann, Marek Wydmuch
2024 A* conf
A General Online Algorithm for Optimizing Complex Performance Metrics.
ICML
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski
2024 J jnl
A General Online Algorithm for Optimizing Complex Performance Metrics.
CoRR
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis, Rohit Babbar, Krzysztof Dembczynski
2024 A* conf
Consistent algorithms for multi-label classification with macro-at-k metrics.
ICLR
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
2024 J jnl
Consistent algorithms for multi-label classification with macro-at-k metrics.
CoRR
Erik Schultheis, Wojciech Kotlowski, Marek Wydmuch, Rohit Babbar, Strom Borman, Krzysztof Dembczynski
2024 J jnl
Tackling prediction tasks in relational databases with LLMs.
CoRR
Marek Wydmuch, Lukasz Borchmann, Filip Gralinski
2023 A* conf
Generalized test utilities for long-tail performance in extreme multi-label classification.
NeurIPS
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
2023 J jnl
Generalized test utilities for long-tail performance in extreme multi-label classification.
CoRR
Erik Schultheis, Marek Wydmuch, Wojciech Kotlowski, Rohit Babbar, Krzysztof Dembczynski
2022 A* conf
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
KDD
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski
2022 J jnl
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification.
CoRR
Erik Schultheis, Marek Wydmuch, Rohit Babbar, Krzysztof Dembczynski
2021 J jnl
Efficient set-valued prediction in multi-class classification.
Data Min. Knowl. Discov.
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
2021 A conf
Online probabilistic label trees.
AISTATS
Marek Wydmuch, Kalina Jasinska-Kobus, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
2021 A* conf
Propensity-scored Probabilistic Label Trees.
SIGIR
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
2021 J jnl
Propensity-scored Probabilistic Label Trees.
CoRR
Marek Wydmuch, Kalina Jasinska-Kobus, Rohit Babbar, Krzysztof Dembczynski
2020 J jnl
Online probabilistic label trees.
CoRR
Kalina Jasinska-Kobus, Marek Wydmuch, Devanathan Thiruvenkatachari, Krzysztof Dembczynski
2020 J jnl
Probabilistic Label Trees for Extreme Multi-label Classification.
CoRR
Kalina Jasinska-Kobus, Marek Wydmuch, Krzysztof Dembczynski, Mikhail Kuznetsov, Róbert Busa-Fekete
2019 J jnl
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification.
CoRR
Thomas Mortier, Marek Wydmuch, Eyke Hüllermeier, Krzysztof Dembczynski, Willem Waegeman
2019 — conf
Set-Valued Prediction in Multi-Class Classification.
BNAIC/BENELEARN
Thomas Mortier, Marek Wydmuch, Krzysztof Dembczynski, Eyke Hüllermeier, Willem Waegeman
2019 J jnl
ViZDoom Competitions: Playing Doom From Pixels.
IEEE Trans. Games
Marek Wydmuch, Michal Kempka, Wojciech Jaskowski
2018 A* conf
A no-regret generalization of hierarchical softmax to extreme multi-label classification.
NeurIPS
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 J jnl
A no-regret generalization of hierarchical softmax to extreme multi-label classification.
CoRR
Marek Wydmuch, Kalina Jasinska, Mikhail Kuznetsov, Róbert Busa-Fekete, Krzysztof Dembczynski
2018 J jnl
ViZDoom Competitions: Playing Doom from Pixels.
CoRR
Marek Wydmuch, Michal Kempka, Wojciech Jaskowski
2016 J jnl
ViZDoom: A Doom-based AI Research Platform for Visual Reinforcement Learning.
CoRR
Michal Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, Wojciech Jaskowski
2016 — conf
ViZDoom: A Doom-based AI research platform for visual reinforcement learning.
CIG
Michal Kempka, Marek Wydmuch, Grzegorz Runc, Jakub Toczek, Wojciech Jaskowski