Freund, Yoav

37 publications

JMLR 2022 When Is the Convergence Time of Langevin Algorithms Dimension Independent? a Composite Optimization Viewpoint Yoav Freund, Yi-An Ma, Tong Zhang

NeurIPS 2019 An Adaptive Nearest Neighbor Rule for Classification Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran

COLT 2016 Open Problem: Second Order Regret Bounds Based on Scaling Time Yoav Freund

COLT 2015 Optimally Combining Classifiers Using Unlabeled Data Akshay Balsubramani, Yoav Freund

NeurIPS 2015 Scalable Semi-Supervised Aggregation of Classifiers Akshay Balsubramani, Yoav Freund

NeurIPS 2013 The Fast Convergence of Incremental PCA Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund

UAI 2010 An Online Learning-Based Framework for Tracking Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu

NeurIPS 2009 A Parameter-Free Hedging Algorithm Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu

ICML 2009 Invited Talk: Drifting Games, Boosting and Online Learning Yoav Freund

ALT 2008 Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings Yoav Freund, László Györfi, György Turán, Thomas Zeugmann

ECML-PKDD 2008 From Microscopy Images to Models of Cellular Processes Yoav Freund

NeurIPS 2007 Learning the Structure of Manifolds Using Random Projections Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma

JMLR 2003 An Efficient Boosting Algorithm for Combining Preferences Yoav Freund, Raj Iyer, Robert E. Schapire, Yoram Singer

COLT 2003 Universal Coding of Zipf Distributions Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang

ICCV 2003 Unsupervised Improvement of Visual Detectors Using Co-Training Anat Levin, Paul A. Viola, Yoav Freund

MLJ 2001 An Adaptive Version of the Boost by Majority Algorithm Yoav Freund

AISTATS 2001 Why Averaging Classifiers Can Protect Against Overfitting Yoav Freund, Yishay Mansour, Robert E. Schapire

COLT 2000 Continuous Drifting Games Yoav Freund, Manfred Opper

COLT 1999 An Adaptive Version of the Boost by Majority Algorithm Yoav Freund

COLT 1999 Estimating a Mixture of Two Product Distributions Yoav Freund, Yishay Mansour

MLJ 1999 Large Margin Classification Using the Perceptron Algorithm Yoav Freund, Robert E. Schapire

ICML 1999 The Alternating Decision Tree Learning Algorithm Yoav Freund, Llew Mason

ICML 1998 An Efficient Boosting Algorithm for Combining Preferences Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer

COLT 1998 Large Margin Classification Using the Perceptron Algorithm Yoav Freund, Robert E. Schapire

COLT 1998 Self Bounding Learning Algorithms Yoav Freund

ICML 1997 Boosting the Margin: A New Explanation for the Effectiveness of Voting Methods Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee

COLT 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

MLJ 1997 Selective Sampling Using the Query by Committee Algorithm Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby

ICML 1996 Experiments with a New Boosting Algorithm Yoav Freund, Robert E. Schapire

COLT 1996 Game Theory, On-Line Prediction and Boosting Yoav Freund, Robert E. Schapire

MLJ 1996 On-Line Prediction and Conversion Strategies Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth

COLT 1996 Predicting a Binary Sequence Almost as Well as the Optimal Biased Coin Yoav Freund

COLT 1995 Learning to Model Sequences Generated by Switching Distributions Yoav Freund, Dana Ron

COLT 1992 An Improved Boosting Algorithm and Its Implications on Learning Complexity Yoav Freund

NeurIPS 1992 Information, Prediction, and Query by Committee Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby

NeurIPS 1991 Unsupervised Learning of Distributions on Binary Vectors Using Two Layer Networks Yoav Freund, David Haussler

COLT 1990 Boosting a Weak Learning Algorithm by Majority Yoav Freund