Krzysztof Dembczynski

12 papers · 2013–2025 · 7 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🔬 Deep Specialist (12) 🏆 Keyword Champion (3) 🧭 Keyword Pioneer 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🚀 Conference Pioneer 🗃️ Keyword Collector (55) 📈 Trend Setter

Venues

ICML (4) AISTATS (2) NeurIPS (2) ACML (1) ICLR (1) JMLR (1) UAI (1)

Top co-authors

Marek Wydmuch (4) Eyke Hüllermeier (4) Wojciech Kotlowski (4) Róbert Busa-Fekete (3) Willem Waegeman (3) Rohit Babbar (2) Erik Schultheis (2) Kalina Jasinska (2) Arkadiusz Jachnik (2) Aaron Eliasib Flores (1)

Research topics

Machine Learning (12) Core Methods (12) Optimization & Theory (9) Learning Types · Machine Learning (6) Artificial Intelligence (2) Mathematics & Optimization (2) Learning Paradigms (2) Optimization (2) Deep Learning (1) Learning Types · Deep Learning (1)

Keywords

multi-label classification (5) f-measure optimization (3) binary classification (3) online learning (2) regret bound (2) extreme multi-label classification (2) hierarchical classification (2) surrogate loss (1) statistical learning theory (1) statistical consistency (1) structured output prediction (1) performance metric (1) label prediction (1) f-measure maximization (1) multi-class classification (1) support vector machine (1) regret (1) confusion matrix (1) label tree (1) convergence analysis (1)

Papers

Optimal downsampling for Imbalanced Classification with Generalized Linear Models AISTATS 2025 A General Online Algorithm for Optimizing Complex Performance Metrics ICML 2024 Consistent algorithms for multi-label classification with macro-at-k metrics ICLR 2024 Set-valued prediction in hierarchical classification with constrained representation complexity UAI 2022 Online probabilistic label trees AISTATS 2021 A no-regret generalization of hierarchical softmax to extreme multi-label classification NeurIPS 2018 Consistency Analysis for Binary Classification Revisited ICML 2017 Extreme F-measure Maximization using Sparse Probability Estimates ICML 2016 Online F-Measure Optimization NeurIPS 2015 Surrogate regret bounds for generalized classification performance metrics ACML 2015 On the Bayes-Optimality of F-Measure Maximizers JMLR 2014 Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013