Wojciech Kotlowski
13 papers · 2011–2025 · 8 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (31)
🏆
Grand Slam
🗃️
Keyword Collector
(73)
📈
Trend Setter
💎
Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory · Machine Learning
(11)
Core Methods
(8)
Learning Types
(8)
Mathematics & Optimization
(6)
Optimization
(5)
Application Areas
(2)
Artificial Intelligence
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Research
(1)
Keywords
regret bound
(8)
online learning
(5)
multi-label classification
(2)
regret analysis
(2)
probability distribution
(1)
exponential family
(1)
binary classification
(1)
isotonic regression
(1)
statistical consistency
(1)
outlier detection
(1)
online convex optimization
(1)
gradient descent
(1)
performance metric
(1)
matrix optimization
(1)
label prediction
(1)
principal component analysis
(1)
metric learning
(1)
parameter-free algorithm
(1)
sequence prediction
(1)
dimensionality reduction
(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
NeurIPS 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
NeurIPS 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
NeurIPS 2011