Four machine-learning papers co-authored by Prof. Aryeh Kontorovich were recently accepted to Algorthmic Learning Theory (ALT 2019).
The papers are:
- Geoffrey Wolfer and Aryeh Kontorovich. Minimax Learning of Ergodic Markov Chains.
- Idan Attias, Aryeh Kontorovich and Yishay Mansour. Improved generalization bounds for robust learning.
- Steve Hanneke and Aryeh Kontorovich. A Sharp Lower Bound for Agnostic Learning with Sample Compression Schemes.
- Steve Hanneke, Aryeh Kontorovich and Menachem Sadigurschi. Sample Compression for Real-Valued Learners