4 papers accepted to Algorthmic Learning Theory

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​