← Authors

Wojciech Kotlowski

13 papers · 2011–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (8) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (14) πŸ† Grand Slam πŸš€ Conference Pioneer πŸ’Ž Century Club (13) πŸ—ƒοΈ Keyword Collector (54) πŸ“ˆ Trend Setter

Conferences

ICML (3) NIPS (3) COLT (2) AAAI (1) ACML (1) CLEAR (1) ICLR (1) JMLR (1)

Top co-authors

Krzysztof Dembczynski (4) Manfred K. Warmuth (3) Marek Wydmuch (3) Rohit Babbar (3) Erik Schultheis (3) Wouter M. Koolen (2) Peter HarremoΓ«s (1) Willem Waegeman (1) Michael Ibrahim (1) Peter GrΓΌnwald (1)

Research topics

Statistics (1)

Keywords

regret bound (7) online learning (5) metric learning (1) outlier detection (1) binary classification (1) principal component analysis (1) isotonic regression (1) parameter-free algorithm (1) matrix prediction (1) probability distribution (1) gradient descent (1) exponential family (1) matrix optimization (1) performance metric (1) online convex optimization (1) multi-label classification (1) density matrices (1) eigenvector prediction (1) statistical consistency (1) regret analysis (1)

Papers

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data CLEAR 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
Generalized test utilities for long-tail performance in extreme multi-label classification NIPS 2023
Robust Online Convex Optimization in the Presence of Outliers COLT 2021
Learning to Crawl AAAI 2020
Adaptive Scale-Invariant Online Algorithms for Learning Linear Models ICML 2019
Random Permutation Online Isotonic Regression NIPS 2017
Online PCA with Optimal Regret JMLR 2016
Surrogate regret bounds for generalized classification performance metrics ACML 2015
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
Optimizing the F-Measure in Multi-Label Classification: Plug-in Rule Approach versus Structured Loss Minimization ICML 2013
Learning Eigenvectors for Free NIPS 2011