| 1997 | Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line. | Susanne Kaufmann, Frank Stephan |
| 1997 | Learning Logic Programs by Using the Product Homomorphism Method. | Tams Horvth, Robert H. Sloan, Gyrgy Turn |
| 1997 | Some Label Efficient Learning Results. | David P. Helmbold, Sandra Panizza |
| 1997 | A Brief Look at Some Machine Learning Problems in Genomics. | David Haussler |
| 1997 | General Convergence Results for Linear Discriminant Updates. | Adam J. Grove, Nick Littlestone, Dale Schuurmans |
| 1997 | Agnostic Learning of Geometric Patterns (Extended Abstract). | Sally A. Goldman, Stephen Kwek, Stephen D. Scott |
| 1997 | Learning from Examples with Unspecified Attribute Values (Extended Abstract). | Sally A. Goldman, Stephen Kwek, Stephen D. Scott |
| 1997 | Inferring Answers to Queries. | William I. Gasarch, Andrew C. Y. Lee |
| 1997 | PAC Adaptive Control of Linear Systems. | Claude-Nicolas Fiechter |
| 1997 | Learning Distributions from Random Walks. | Funda Ergn, Ravi Kumar, Ronitt Rubinfeld |
| 1997 | Computational Sample Complexity. | Scott E. Decatur, Oded Goldreich, Dana Ron |
| 1997 | A Dichotomy Theorem for Learning Quantified Boolean Formulas. | Vctor Dalmau |
| 1997 | FINite Learning Capabilities and Their Limits. | Robert P. Daley, Bala Kalyanasundaram |
| 1997 | Analysis of Two Gradient-based Algorithms for On-line Regression. | Nicol Cesa-Bianchi |
| 1997 | The Binary Exponentiated Gradient Algorithm for Learning Linear Functions. | Tom Bylander |
| 1997 | Learning Probabilistically Consistent Linear Threshold Functions. | Tom Bylander |
| 1997 | Universal Portfolios With and Without Transaction Costs. | Avrim Blum, Adam Kalai |
| 1997 | On-line Learning and the Metrical Task System Problem. | Avrim Blum, Carl Burch |
| 1997 | Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach. | Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis |
| 1997 | Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract). | Andrew R. Barron |
| 1997 | Asymmetric Team Learning. | Kalvis Apsitis, Rusins Freivalds, Carl H. Smith |
| 1997 | Teachers, Learners and Black Boxes. | Dana Angluin, Martins Krikis |
| 1997 | Learning Markov Chains with Variable Memory Length from Noisy Output. | Dana Angluin, Mikls Csrs |
| 1996 | VC Dimension of an Integrate-and-Fire Neuron Model. | Anthony M. Zador, Barak A. Pearlmutter |
| 1996 | A Randomized Approximation of the MDL for Stochastic Models with Hidden Variables. | Kenji Yamanishi |