Most recent news & events

01.2024
Our paper titled "Consistent algorithms for multi-label classification with macro-at-k metrics" was accepted to ICLR 2024.
10.2023
ML in PL Conference 2023, that I co-organized, took place in Warsaw
09.2023
Our paper titled "Generalized test utilities for long-tail performance in extreme multi-label classification" was accepted to NeurIPS 2023.
06.2023
MLSS^S 2023 (Machine Learning Summer School on Applications in Science) that I co-organized took place at Jagiellonian University in Kraków.
05.2023
A new version of  ViZDoom (1.2.0) library was released with official  Gymnasium wrapper, support for ARM/Arch64 architectures including M1/M2 Macs and other improvments.
02.2023
A new version of  Vowpal Wabbit (9.7.0) was released with my improved implementation of PLT reduction.
11.2022
Me and  ViZDoom project joined  The Farama Foundation.
11.2022
ML in PL Conference 2022, that I co-organized, took place in Warsaw.
06.2022
I started an internship at  Yahoo in Paris, France.
05.2022
Our paper titled "On missing labels, long-tails and propensities in extreme multi-label classification" was accepted to KDD'22.
04.2022
A new version of  ViZDoom (1.1.12) library was released with an official  OpenAI Gym wrapper.
01.2022
I joined the management board of  ML in PL Association.
11.2021
A new version of  ViZDoom (1.1.11) library was released that introduce access to the game's audio buffer.
11.2021
ML in PL Conference 2021, that I co-organized, took place virtualy.
08.2021
Our paper "ViZDoom Competitions: Playing Doom From Pixels" received  2022 IEEE ToG Outstanding Paper Award.
04.2021
Our short paper titled "Propensity-scored Probabilistic Label Trees" was accepted to SIGIR'21.
03.2021
Our paper titled "Efficient Set-Valued Prediction in Multi-Class Classification" was accepted for publication in Data Mining and Knowledge Discovery.
02.2021
Our paper titled "Online probabilistic label trees" was accepted to AISTATS 2021.
12.2020
I gave a talk titled "Probabilistic Label Trees in Vowpal Wabbit" at Vowpal Wabbit Workshop at NeurIPS'20. [ video]
10.2020
I gave a talk titled "Extreme classification: applications and algorithms" on GHOST Day: AMLC'20. [ video]

Scientific publications

Software

ViZDoom

Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information.
[ www] [ code]

napkinXC

Extremely simple and fast library for extreme multi-class and multi-label classification.
[ code]

extremeText

Extension of fastText library for multi-label classification including extreme cases with hundreds of thousands and millions of labels.
[ code]

ML in PL

I'm proud to be a member of the awesome ML in PL Association, a non-profit organization devoted to fostering the machine learning community in Poland and around the world.

From 2021 I'm a member of the management board of ML in PL Association and try to support other members of the association in the organization of great machine learning-related events, including taking care of the recruitment of new members of the association and leading the development of new websites for ML in PL Conference 2022, ML in PL Conference 2023 and MLSS^S 2023

Before, I co-organized ML in PL Conference 2019, ML in PL Virtual Event 2020, and ML in PL Conference 2021 serving as Call for Contributions (Talks and Posters) coordinator.

Reviewing scientific papers

I try to review at least a dozen of papers each year. So far I have served as a reviewer for:

Teaching

The one that learns the most from a course is a teacher.
Wojciech Jaśkowski (my Eng. thesis supervisor)

As part of my PhD/being an assistant, I taught/teach a few courses at Poznan University of Technology (PUT) related to the topics of Machine Learning, Artificial Intelligence, Data Science and Big Data:

  • Advanced Methods of Computational Intelligence 2021, 2022 and 2023 (lectures + exercises)
    based on Richard S. Sutton and Andrew G. Barto, Reinforcement Learning: An Introduction and selected chapters from Stuart Russell and Peter Norvig, Artificial Intelligence A Modern Approach.
  • Methods of Artificial and Computational Intelligence 2021 (exercises)
    based on selected chapters from Stuart Russell and Peter Norvig, Artificial Intelligence A Modern Approach.
  • Big Data Processing 2019/2020 and Processing of Massive Datasets 2018/2019 (exercises)
    based on selected chapters from Jure Leskovec, Anand Rajaraman, Jeff Ullman, Mining of Massive Datasets.
  • Information Theory and Lossless Compression Methods 2018 (exercises)
    based on the first chapters from David J.C. MacKay, Information Theory, Inference, and Learning Algorithms.
    Note:  The course was awarded as the best new course in 2018 at the Institute of Computer Science.

If you are my student feel free to contact me via e-mail provided on this website.