| 2024 | MICCAI | Towards Explainable Automated Neuroanatomy. | Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund |
| 2017 | MICCAI | The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. | Yuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey J. Karten, Partha P. Mitra, David Kleinfeld, Yoav Freund |
| 2016 | COLT | Open Problem: Second order regret bounds based on scaling time. | Yoav Freund |
| 2015 | CIDR | Combining Databases and Signal Processing in Plato. | Yannis Katsis, Yoav Freund, Yannis Papakonstantinou |
| 2015 | COLT | Optimally Combining Classifiers Using Unlabeled Data. | Akshay Balsubramani, Yoav Freund |
| 2014 | FPL | Improving FPGA accelerated tracking with multiple online trained classifiers. | Matthew Jacobsen, Siddarth Sampangi, Yoav Freund, Ryan Kastner |
| 2014 | ICMLA | Improved kNN Rule for Small Training Sets. | Sunsern Cheamanunkul, Yoav Freund |
| 2012 | FCCM | RIFFA: A Reusable Integration Framework for FPGA Accelerators. | Matthew Jacobsen, Yoav Freund, Ryan Kastner |
| 2011 | ICASSP | Occlusion boundary detection using an online learning framework. | Natan Jacobson, Yoav Freund, Truong Q. Nguyen |
| 2010 | ICIP | Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems. | Jack Tzeng, Yoav Freund, Truong Nguyen |
| 2010 | KDD | Data winnowing. | Yoav Freund |
| 2010 | UAI | An Online Learning-based Framework for Tracking. | Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu |
| 2009 | ICMI | Detecting, tracking and interacting with people in a public space. | Sunsern Cheamanunkul, Evan Ettinger, Matthew Jacobsen, Patrick Lai, Yoav Freund |
| 2009 | ICML | Invited talk: Drifting games, boosting and online learning. | Yoav Freund |
| 2008 | STOC | Random projection trees and low dimensional manifolds. | Sanjoy Dasgupta, Yoav Freund |
| 2005 | RECOMB | Motif Discovery Through Predictive Modeling of Gene Regulation. | Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie |
| 2004 | ISMB | Predicting genetic regulatory response using classification. | Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie |
| 2004 | RECOMB | Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. | Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie |
| 2003 | COLT | Universal Coding of Zipf Distributions. | Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang |
| 2003 | ICCV | Unsupervised Improvement of Visual Detectors using Co-Training. | Anat Levin, Paul A. Viola, Yoav Freund |
| 2001 | AISTATS | Why averaging classifiers can protect against overfitting. | Yoav Freund, Yishay Mansour, Robert E. Schapire |
| 2000 | COLT | Continuous Drifting Games. | Yoav Freund, Manfred Opper |
| 1999 | COLT | An Adaptive Version of the Boost by Majority Algorithm. | Yoav Freund |
| 1999 | COLT | Estimating a Mixture of Two Product Distributions. | Yoav Freund, Yishay Mansour |
| 1999 | ICML | The Alternating Decision Tree Learning Algorithm. | Yoav Freund, Llew Mason |
| 1998 | COLT | Self Bounding Learning Algorithms. | Yoav Freund |
| 1998 | COLT | Large Margin Classification Using the Perceptron Algorithm. | Yoav Freund, Robert E. Schapire |
| 1998 | ICML | An Efficient Boosting Algorithm for Combining Preferences. | Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer |
| 1997 | ICML | Boosting the margin: A new explanation for the effectiveness of voting methods. | Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee |
| 1997 | STOC | Using and Combining Predictors That Specialize. | Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth |
| 1996 | COLT | Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. | Yoav Freund |
| 1996 | COLT | Game Theory, On-Line Prediction and Boosting. | Yoav Freund, Robert E. Schapire |
| 1996 | ICML | Experiments with a New Boosting Algorithm. | Yoav Freund, Robert E. Schapire |
| 1995 | COLT | Learning to Model Sequences Generated by Switching Distributions. | Yoav Freund, Dana Ron |
| 1995 | FOCS | Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. | Peter Auer, Nicol Cesa-Bianchi, Yoav Freund, Robert E. Schapire |
| 1995 | FOCS | Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. | Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire |
| 1993 | STOC | How to use expert advice. | Nicol Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth |
| 1993 | STOC | Efficient learning of typical finite automata from random walks. | Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie |
| 1992 | COLT | An Improved Boosting Algorithm and Its Implications on Learning Complexity. | Yoav Freund |
| 1990 | COLT | Boosting a Weak Learning Algorithm by Majority. | Yoav Freund |