Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. - Yoav Freund; David Haussler (NIPS, 1991)

An Improved Boosting Algorithm and Its Implications on Learning Complexity. - Yoav Freund (COLT, 1992)

Information, Prediction, and Query by Committee. - Yoav Freund; H. Sebastian Seung; Eli Shamir 001; Naftali Tishby (NIPS, 1992)

Learning to Model Sequences Generated by Switching Distributions. - Yoav Freund; Dana Ron (COLT, 1995)

Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. - Peter Auer; Nicolò Cesa-Bianchi; Yoav Freund; Robert E. Schapire (FOCS, 1995)

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 (FOCS, 1995)

Boosting a Weak Learning Algorithm by Majority - Yoav Freund (Inf. Comput., 1995)

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

Experiments with a New Boosting Algorithm. - Yoav Freund; Robert E. Schapire (ICML, 1996)

On-line Prediction and Conversion Strategies. - Nicolò Cesa-Bianchi; Yoav Freund; David P. Helmbold; Manfred K. Warmuth (Mach. Learn., 1996)

Learning Under Persistent Drift. - Yoav Freund; Yishay Mansour (EuroCOLT, 1997)

Boosting the margin: A new explanation for the effectiveness of voting methods. - Robert E. Schapire; Yoav Freund; Peter Barlett; Wee Sun Lee (ICML, 1997)

Using and Combining Predictors That Specialize. - Yoav Freund; Robert E. Schapire; Yoram Singer; Manfred K. Warmuth (STOC, 1997)

Efficient Learning of Typical Finite Automata from Random Walks. - Yoav Freund; Michael J. Kearns; Dana Ron; Ronitt Rubinfeld; Robert E. Schapire; Linda Sellie (Inf. Comput., 1997)

How to use expert advice. - Nicolò Cesa-Bianchi; Yoav Freund; David Haussler; David P. Helmbold; Robert E. Schapire; Manfred K. Warmuth (J. ACM, 1997)

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. - Yoav Freund; Robert E. Schapire (J. Comput. Syst. Sci., 1997)

Selective Sampling Using the Query by Committee Algorithm. - Yoav Freund; H. Sebastian Seung; Eli Shamir 001; Naftali Tishby (Mach. Learn., 1997)

Self Bounding Learning Algorithms. - Yoav Freund (COLT, 1998)

Estimating a Mixture of Two Product Distributions. - Yoav Freund; Yishay Mansour (COLT, 1999)

The Alternating Decision Tree Learning Algorithm. - Yoav Freund; Llew Mason (ICML, 1999)

Large Margin Classification Using the Perceptron Algorithm. - Yoav Freund; Robert E. Schapire (Mach. Learn., 1999)

Continuous Drifting Games. - Yoav Freund; Manfred Opper (COLT, 2000)

Gambling in a rigged casino: The adversarial multi-armed bandit problem - Peter Auer; Nicolò Cesa-Bianchi; Yoav Freund; Robert E. Schapire (Electron. Colloquium Comput. Complex., 2000)

Why averaging classifiers can protect against overfitting. - Yoav Freund; Yishay Mansour; Robert E. Schapire (AISTATS, 2001)

An Adaptive Version of the Boost by Majority Algorithm. - Yoav Freund (Mach. Learn., 2001)

Drifting Games and Brownian Motion. - Yoav Freund; Manfred Opper (J. Comput. Syst. Sci., 2002)

The Nonstochastic Multiarmed Bandit Problem. - Peter Auer; Nicolò Cesa-Bianchi; Yoav Freund; Robert E. Schapire (SIAM J. Comput., 2002)

Universal Coding of Zipf Distributions. - Yoav Freund; Alon Orlitsky; Prasad Santhanam; Junan Zhang (COLT, 2003)

Unsupervised Improvement of Visual Detectors using Co-Training. - Anat Levin; Paul A. Viola; Yoav Freund (ICCV, 2003)

Predicting a binary sequence almost as well as the optimal biased coin. - Yoav Freund (Inf. Comput., 2003)

An Efficient Boosting Algorithm for Combining Preferences. - Yoav Freund; Raj D. Iyer; Robert E. Schapire; Yoram Singer (J. Mach. Learn. Res., 2003)

Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. - Rui Kuang; Eugene Ie; Ke Wang; Kai Wang; Mahira Siddiqi; Yoav Freund; Christina S. Leslie (CSB, 2004)

Predicting genetic regulatory response using classification. - Manuel Middendorf; Anshul Kundaje; Chris Wiggins 001; Yoav Freund; Christina S. Leslie (ISMB/ECCB (Supplement of Bioinformatics), 2004)

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. - Manuel Middendorf; Anshul Kundaje; Chris Wiggins 001; Yoav Freund; Christina S. Leslie (Regulatory Genomics, 2004)

Motif Discovery Through Predictive Modeling of Gene Regulation. - Manuel Middendorf; Anshul Kundaje; Mihir Shah; Yoav Freund; Chris Wiggins 001; Christina S. Leslie (RECOMB, 2005)

Identifying metabolic enzymes with multiple types of association evidence. - Peter V. Kharchenko; Lifeng Chen; Yoav Freund; Dennis Vitkup; George M. Church (BMC Bioinform., 2006)

A classification-based framework for predicting and analyzing gene regulatory response. - Anshul Kundaje; Manuel Middendorf; Mihir Shah; Chris Wiggins 001; Yoav Freund; Christina S. Leslie (BMC Bioinform., 2006)

Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding. - William Beaver; David Kosman; Gary Tedeschi; Ethan Bier; William McGinnis; Yoav Freund (ISBI, 2007)

Learning the structure of manifolds using random projections. - Yoav Freund; Sanjoy Dasgupta; Mayank Kabra; Nakul Verma (NIPS, 2007)

Coordinate-free calibration of an acoustically driven camera pointing system. - Evan Ettinger; Yoav Freund (ICDSC, 2008)

From Microscopy Images to Models of Cellular Processes. - Yoav Freund (ECML/PKDD (1), 2008)

Random projection trees and low dimensional manifolds. - Sanjoy Dasgupta; Yoav Freund (STOC, 2008)

A new Hedging algorithm and its application to inferring latent random variables - Yoav Freund; Daniel J. Hsu (CoRR, 2008)

Detecting, tracking and interacting with people in a public space. - Sunsern Cheamanunkul; Evan Ettinger; Matthew Jacobsen; Patrick Lai; Yoav Freund (ICMI, 2009)

Invited talk: Drifting games, boosting and online learning. - Yoav Freund (ICML, 2009)

A Parameter-free Hedging Algorithm. - Kamalika Chaudhuri; Yoav Freund; Daniel J. Hsu (NIPS, 2009)

ResBoost: characterizing and predicting catalytic residues in enzymes. - Ron Alterovitz; Aaron Arvey; Sriram Sankararaman; Carolina Dallett; Yoav Freund; Kimmen Sjölander (BMC Bioinform., 2009)

Tracking using explanation-based modeling - Kamalika Chaudhuri; Yoav Freund; Daniel J. Hsu (CoRR, 2009)

A method for Hedging in continuous time - Yoav Freund (CoRR, 2009)

Random projection trees for vector quantization. - Sanjoy Dasgupta; Yoav Freund (IEEE Trans. Inf. Theory, 2009)

Application of Alternating Decision Trees in Selecting Sparse Linear Solvers. - Sanjukta Bhowmick; Victor Eijkhout; Yoav Freund; Erika Fuentes; David E. Keyes (Software Automatic Tuning, From Concepts to State-of-the-Art Results, 2010)

Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems. - Jack Tzeng; Yoav Freund; Truong Nguyen 001 (ICIP, 2010)

Data winnowing. - Yoav Freund (KDD, 2010)

An Online Learning-based Framework for Tracking. - Kamalika Chaudhuri; Yoav Freund; Daniel J. Hsu (UAI, 2010)

Particle Filtering on the Audio Localization Manifold - Evan Ettinger; Yoav Freund (CoRR, 2010)

Towards automated high-throughput screening of C. elegans on agar - Mayank Kabra; Annie L. Conery; Eyleen J. O'Rourke; Xin Xie; Vebjorn Ljosa; Thouis R. Jones; Frederick M. Ausubel; Gary Ruvkun; Anne E. Carpenter; Yoav Freund (CoRR, 2010)

Learning a board Balanced Scorecard to improve corporate performance. - Germán Creamer; Yoav Freund (Decis. Support Syst., 2010)

Occlusion boundary detection using an online learning framework. - Natan Jacobson; Yoav Freund; Truong Q. Nguyen (ICASSP, 2011)

RIFFA: A Reusable Integration Framework for FPGA Accelerators. - Matthew Jacobsen; Yoav Freund; Ryan Kastner (FCCM, 2012)

An Online Learning Approach to Occlusion Boundary Detection. - Natan Jacobson; Yoav Freund; Truong Q. Nguyen (IEEE Trans. Image Process., 2012)

The Fast Convergence of Incremental PCA. - Akshay Balsubramani; Sanjoy Dasgupta; Yoav Freund (NIPS, 2013)

Improving FPGA accelerated tracking with multiple online trained classifiers. - Matthew Jacobsen; Siddarth Sampangi; Yoav Freund; Ryan Kastner (FPL, 2014)

Improved kNN Rule for Small Training Sets. - Sunsern Cheamanunkul; Yoav Freund (ICMLA, 2014)

A system for sending the right hint at the right time. - Matthew Elkherj; Yoav Freund (L@S, 2014)

Non-Convex Boosting Overcomes Random Label Noise. - Sunsern Cheamanunkul; Evan Ettinger; Yoav Freund (CoRR, 2014)

Combining Databases and Signal Processing in Plato. - Yannis Katsis; Yoav Freund; Yannis Papakonstantinou (CIDR, 2015)

Optimally Combining Classifiers Using Unlabeled Data. - Akshay Balsubramani; Yoav Freund (COLT, 2015)

Scalable Semi-Supervised Aggregation of Classifiers. - Akshay Balsubramani; Yoav Freund (NIPS, 2015)

PAC-Bayes with Minimax for Confidence-Rated Transduction. - Akshay Balsubramani; Yoav Freund (CoRR, 2015)

Scalable Semi-Supervised Classifier Aggregation. - Akshay Balsubramani; Yoav Freund (CoRR, 2015)

Minimax Binary Classifier Aggregation with General Losses. - Akshay Balsubramani; Yoav Freund (CoRR, 2015)

Open Problem: Second order regret bounds based on scaling time. - Yoav Freund (COLT, 2016)

Optimal Binary Classifier Aggregation for General Losses. - Akshay Balsubramani; Yoav Freund (NIPS, 2016)

Muffled Semi-Supervised Learning. - Akshay Balsubramani; Yoav Freund (CoRR, 2016)

Typicality-Based Stability and Privacy. - Raef Bassily; Yoav Freund (CoRR, 2016)

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 (MICCAI (1), 2017)

The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. - Yuncong Chen; David Kleinfeld; Yoav Freund (CoRR, 2017)

Co-adaptation in a Handwriting Recognition System. - Sunsern Cheamanunkul; Yoav Freund (JCSSE, 2018)

Robust Landmark Detection for Alignment of Mouse Brain Section Images. - Yuncong Chen; David Kleinfeld; Martyn Goulding; Yoav Freund (CoRR, 2018)

Tell Me Something New: A New Framework for Asynchronous Parallel Learning. - Julaiti Alafate; Yoav Freund (CoRR, 2018)

Faster Boosting with Smaller Memory. - Julaiti Alafate; Yoav Freund (NeurIPS, 2019)

An adaptive nearest neighbor rule for classification. - Akshay Balsubramani; Sanjoy Dasgupta; Yoav Freund; Shay Moran (NeurIPS, 2019)

Experimental Design for Bathymetry Editing. - Julaiti Alafate; Yoav Freund; David T. Sandwell; Brook Tozer (CoRR, 2020)

Audio scene monitoring using redundant un-localized microphone arrays. - Peter Gerstoft; Yihan Hu 002; Chaitanya Patil; Ardel Alegre; Michael J. Bianco; Yoav Freund; François Grondin (CoRR, 2021)

Optimal Strategies for Decision Theoretic Online Learning. - Yoav Freund (CoRR, 2021)

SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. - Andreas Oslandsbotn; Zeljko Kereta; Valeriya Naumova; Yoav Freund; Alexander Cloninger (CoRR, 2021)

StreaMRAK a streaming multi-resolution adaptive kernel algorithm. - Andreas Oslandsbotn; Zeljko Kereta; Valeriya Naumova; Yoav Freund; Alexander Cloninger (Appl. Math. Comput., 2022)

Structure from Voltage. - Robi Bhattacharjee; Alex Cloninger; Yoav Freund (CoRR, 2022)

Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks. - Peter Gerstoft; Yihan Hu 002; Michael J. Bianco; Chaitanya Patil; Ardel Alegre; Yoav Freund; François Grondin (IEEE Internet Things J., 2022)

On the k-means/median cost function. - Anup Bhattacharya; Yoav Freund; Ragesh Jaiswal (Inf. Process. Lett., 2022)

When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint. - Yoav Freund; Yi-An Ma; Tong Zhang 001 (J. Mach. Learn. Res., 2022)

Active learning using region-based sampling. - Sanjoy Dasgupta; Yoav Freund (CoRR, 2023)

Effective resistance in metric spaces. - Robi Bhattacharjee; Alexander Cloninger; Yoav Freund; Andreas Oslandsbotn (CoRR, 2023)

Towards Explainable Automated Neuroanatomy. - Kui Qian; Litao Qiao; Beth Friedman; Edward O'Donnell; David Kleinfeld; Yoav Freund (MICCAI (3), 2024)

CellBoost: A pipeline for machine assisted annotation in neuroanatomy. - Kui Qian; Beth Friedman; Jun Takatoh; Alexander Groisman; Fan Wang; David Kleinfeld; Yoav Freund (AI Open, 2024)