| 1997 | A Brief Look at Some Machine Learning Problems in Genomics. David Haussler |
| 1997 | A Dichotomy Theorem for Learning Quantified Boolean Formulas. Víctor Dalmau |
| 1997 | A PAC Analysis of a Bayesian Estimator. John Shawe-Taylor, Robert C. Williamson |
| 1997 | Agnostic Learning of Geometric Patterns (Extended Abstract). Sally A. Goldman, Stephen Kwek, Stephen D. Scott |
| 1997 | Algorithmic Stability and Sanity-Check Bounds for Leave-one-Out Cross-Validation. Michael J. Kearns, Dana Ron |
| 1997 | An Efficient Extension to Mixture Techniques for Prediction and Decision Trees. Fernando C. N. Pereira, Yoram Singer |
| 1997 | Analysis of Two Gradient-based Algorithms for On-line Regression. Nicolò Cesa-Bianchi |
| 1997 | Asymmetric Team Learning. Kalvis Apsitis, Rusins Freivalds, Carl H. Smith |
| 1997 | Computational Sample Complexity. Scott E. Decatur, Oded Goldreich, Dana Ron |
| 1997 | Dense Shattering and Teaching Dimensions for Differentiable Families (Extended Abstract). Adam Kowalczyk |
| 1997 | Derandomizing Stochastic Prediction Strategies. V. G. Vovk |
| 1997 | Distributed Cooperative Bayesian Learning Strategies. Kenji Yamanishi |
| 1997 | Estimation of Time-Varying Parameters in Statistical Models: An Optimization Approach. Dimitris Bertsimas, David Gamarnik, John N. Tsitsiklis |
| 1997 | FINite Learning Capabilities and Their Limits. Robert P. Daley, Bala Kalyanasundaram |
| 1997 | General Convergence Results for Linear Discriminant Updates. Adam J. Grove, Nick Littlestone, Dale Schuurmans |
| 1997 | Generalized Notions of Mind Change Complexity. Arun Sharma, Frank Stephan, Yuri Ventsov |
| 1997 | Generating all Maximal Independent Sets of Bounded-Degree Hypergraphs. Nina Mishra, Leonard Pitt |
| 1997 | Inferring Answers to Queries. William I. Gasarch, Andrew C. Y. Lee |
| 1997 | Information Theory in Probability, Statistics, Learning, and Neural Nets (Abstract). Andrew R. Barron |
| 1997 | Learning Distributions from Random Walks. Funda Ergün, Ravi Kumar, Ronitt Rubinfeld |
| 1997 | Learning Logic Programs by Using the Product Homomorphism Method. Tamás Horváth, Robert H. Sloan, György Turán |
| 1997 | Learning Markov Chains with Variable Memory Length from Noisy Output. Dana Angluin, Miklós Csürös |
| 1997 | Learning Probabilistically Consistent Linear Threshold Functions. Tom Bylander |
| 1997 | Learning from Examples with Unspecified Attribute Values (Extended Abstract). Sally A. Goldman, Stephen Kwek, Stephen D. Scott |
| 1997 | Learning with Maximum-Entropy Distributions. Yishay Mansour, Mariano Schain |
| 1997 | On the Complexity of Learning for a Spiking Neuron (Extended Abstract). Wolfgang Maass, Michael Schmitt |
| 1997 | On-line Evaluation and Prediction using Linear Functions. Philip M. Long |
| 1997 | On-line Learning and the Metrical Task System Problem. Avrim Blum, Carl Burch |
| 1997 | PAC Adaptive Control of Linear Systems. Claude-Nicolas Fiechter |
| 1997 | Performance Bounds for Nonlinear Time Series Prediction. Ron Meir |
| 1997 | Proceedings of the Tenth Annual Conference on Computational Learning Theory, COLT 1997, Nashville, Tennessee, USA, July 6-9, 1997. Yoav Freund, Robert E. Schapire |
| 1997 | Resource Bounded Next Value and Explanatory Identification: Learning Automata, Patterns and Polynomials On-Line. Susanne Kaufmann, Frank Stephan |
| 1997 | Some Label Efficient Learning Results. David P. Helmbold, Sandra Panizza |
| 1997 | Teachers, Learners and Black Boxes. Dana Angluin, Martins Krikis |
| 1997 | The Binary Exponentiated Gradient Algorithm for Learning Linear Functions. Tom Bylander |
| 1997 | Universal Portfolios With and Without Transaction Costs. Avrim Blum, Adam Kalai |