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Tomasz Steifer
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Journal Articles
- 2022
- [j4]Lukasz Debowski, Tomasz Steifer:
Universal coding and Prediction on Ergodic Random Points. Bull. Symb. Log. 28(3): 387-412 (2022) - [j3]Tomasz Steifer:
A note on the Learning-Theoretic Characterizations of Randomness and convergence. Rev. Symb. Log. 15(3): 807-822 (2022) - 2019
- [j2]Tomasz Steifer, Marcin Lewandowski:
Ultrasound tissue characterization based on the Lempel-Ziv complexity with application to breast lesion classification. Biomed. Signal Process. Control. 51: 235-242 (2019) - [j1]Dariusz Kalocinski, Tomasz Steifer:
On unstable and unoptimal prediction. Math. Log. Q. 65(2): 218-227 (2019)
Conference and Workshop Papers
- 2024
- [c6]Alexander Kozachinskiy, Tomasz Steifer:
Simple online learning with consistent oracle. COLT 2024: 3241-3256 - 2023
- [c5]Valentino Delle Rose, Alexander Kozachinskiy, Cristóbal Rojas, Tomasz Steifer:
Find a witness or shatter: the landscape of computable PAC learning. COLT 2023: 511-524 - [c4]Pablo Barceló, Mauricio Duarte, Cristóbal Rojas, Tomasz Steifer:
No Agreement Without Loss: Learning and Social Choice in Peer Review. ECAI 2023: 190-197 - 2022
- [c3]Laurent Bienvenu, Valentino Delle Rose, Tomasz Steifer:
Probabilistic vs Deterministic Gamblers. STACS 2022: 11:1-11:13 - 2021
- [c2]Tomasz Steifer:
Simple Betting and Stochasticity. CiE 2021: 424-433 - 2019
- [c1]Dariusz Kalocinski, Tomasz Steifer:
An Almost Perfectly Predictable Process with No Optimal Predictor. ISIT 2019: 2504-2508
Informal and Other Publications
- 2023
- [i4]Valentino Delle Rose, Alexander Kozachinskiy, Cristóbal Rojas, Tomasz Steifer:
Find a witness or shatter: the landscape of computable PAC learning. CoRR abs/2302.04731 (2023) - [i3]Alexander Kozachinskiy, Tomasz Steifer:
Simple online learning with consistency oracle. CoRR abs/2308.08055 (2023) - 2022
- [i2]Pablo Barceló, Mauricio Duarte, Cristóbal Rojas, Tomasz Steifer:
No Agreement Without Loss: Learning and Social Choice in Peer Review. CoRR abs/2211.02144 (2022) - 2020
- [i1]Lukasz Debowski, Tomasz Steifer:
Universal Coding and Prediction on Martin-Löf Random Points. CoRR abs/2005.03627 (2020)
Coauthor Index
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