| 2006 |
|---|
| 9 | EE | Eyal Even-Dar,
Sham M. Kakade,
Michael S. Kearns,
Yishay Mansour:
(In)Stability properties of limit order dynamics.
ACM Conference on Electronic Commerce 2006: 120-129 |
| 8 | EE | Michael S. Kearns,
Siddharth Suri:
Networks preserving evolutionary equilibria and the power of randomization.
ACM Conference on Electronic Commerce 2006: 200-207 |
| 7 | EE | Yuriy Nevmyvaka,
Yi Feng,
Michael S. Kearns:
Reinforcement learning for optimized trade execution.
ICML 2006: 673-680 |
| 2005 |
|---|
| 6 | EE | Yuriy Nevmyvaka,
Michael S. Kearns,
Amy Papandreou,
Katia P. Sycara:
Electronic Trading in Order-Driven Markets: Efficient Execution.
CEC 2005: 190-197 |
| 5 | EE | Koby Crammer,
Michael S. Kearns,
Jennifer Wortman:
Learning from Data of Variable Quality.
NIPS 2005 |
| 2002 |
|---|
| 4 | EE | Eric Allender,
Sanjeev Arora,
Michael S. Kearns,
Cristopher Moore,
Alexander Russell:
A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics.
NIPS 2002: 431-437 |
| 2000 |
|---|
| 3 | EE | Diane J. Litman,
Michael S. Kearns,
Satinder P. Singh,
Marilyn A. Walker:
Automatic Optimization of Dialogue Management.
COLING 2000: 502-508 |
| 1999 |
|---|
| 2 | EE | Diane J. Litman,
Marilyn A. Walker,
Michael S. Kearns:
Automatic Detection of Poor Speech Recognition at the Dialogue Level.
ACL 1999 |
| 1997 |
|---|
| 1 | EE | Michael S. Kearns:
A Bound on the Error of Cross Validation Using the Approximation and Estimation Rates, with Consequences for the Training-test Split.
Neural Computation 9(5): 1143-1161 (1997) |
