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| Publication Date | Article Title | Author(s) |
|---|---|---|
| 1-Jan-2015 | Convex risk minimization and conditional probability estimation | Telgarsky, M; Dudík, M; Schapire, Robert |
| - | The Rate of Convergence of AdaBoost | Mukherjee, Indraneel; Rudin, Cynthia; Schapire, Robert E |
| 1-Jan-2014 | Robust multi-objective learning with mentor feedback | Agarwal, A; Badanidiyuru, A; Dudík, M; Schapire, RE; Slivkins, A |
| 2014 | Deep Supervised and Convolutional Generative Stochastic Network for Protein Secondary Structure Prediction | Zhou, Jian; Troyanskaya, Olga G |
| 2012 | Contextual Bandit Learning with Predictable Rewards | Agarwal, Alekh; Dudík, Miroslav; Kale, Satyen; Langford, John; Schapire, Robert E |
| 1-Jan-2014 | Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware | Wang, Z; Schapire, Robert; Verma, N |
| 1-Dec-2011 | Contextual bandits with linear Payoff functions | Chu, W; Li, L; Reyzin, L; Schapire, Robert E |
| 2012 | Open Problem: Does AdaBoost Always Cycle? | Rudin, Cynthia; Schapire, Robert E; Daubechies, Ingrid |
| 2015 | An Interactive Information Odometer and Applications | Braverman, Mark; Weinstein, Omri |
| 2019 | Online learning of quantum states | Aaronson, Scott; Chen, Xinyi; Hazan, Elad; Kale, Satyen; Nayak, Ashwin |