Most recent news & events
Our paper titled "A General Online Algorithm for Optimizing Complex Performance Metrics" was accepted to ICML 2024 [ paper].
Our paper titled "Consistent algorithms for multi-label classification with macro-at-k metrics" was accepted to ICLR 2024 [ paper].
ML in PL Conference 2023, that I co-organized, took place in Warsaw.
Our paper titled "Generalized test utilities for long-tail performance in extreme multi-label classification" was accepted to NeurIPS 2023 [ paper].
MLSS^S 2023 (Machine Learning Summer School on Applications in Science) that I co-organized took place at Jagiellonian University in Kraków.
A new version of Vowpal Wabbit (9.7.0) was released with my improved implementation of PLT reduction.
Me and ViZDoom project joined The Farama Foundation.
ML in PL Conference 2022, that I co-organized, took place in Warsaw.
I started an internship at Yahoo in Paris, France.
Our paper titled "On missing labels, long-tails and propensities in extreme multi-label classification" was accepted to KDD'22 [ paper].
A new version of ViZDoom (1.1.12) library was released with an official OpenAI Gym wrapper.
I joined the management board of ML in PL Association.
A new version of ViZDoom (1.1.11) library was released that introduce access to the new audio buffer allowing agents to not only see but also hear an environment.
ML in PL Conference 2021, that I co-organized, took place virtualy.
Our paper "ViZDoom Competitions: Playing Doom From Pixels" received 2022 IEEE ToG Outstanding Paper Award.
Our short paper titled "Propensity-scored Probabilistic Label Trees" was accepted to SIGIR'21 [ paper].
Our paper titled "Efficient Set-Valued Prediction in Multi-Class Classification" was accepted for publication in Data Mining and Knowledge Discovery. [ paper]
Our paper titled "Online probabilistic label trees" was accepted to AISTATS 2021. [ paper]
I gave a talk titled "Probabilistic Label Trees in Vowpal Wabbit" at Vowpal Wabbit Workshop at NeurIPS'20. [ video]
I gave a talk titled "Extreme classification: applications and algorithms" on GHOST Day: AMLC'20. [ video]
