Y. Freund

发表

Generalization bounds for averaged classifiers

Y. Mansour, Y. Freund, R. Schapire, 2004, math/0410092.

Adaptive game playing using multiplicative weights

Y. Freund, R. Schapire, 1999 .

Unsupervised learning of distributions on binary vectors using two layer networks

David Haussler, Yoav Freund, Y. Freund, 1991, NIPS 1991.

Active learning for visual object detection

Y. Freund, Y. Abramson, 2005 .

Boosting the margin: A new explanation for the effectiveness of voting methods

Yoav Freund, Robert E. Schapire, Wee Sun Lee, 1997, ICML.

Boosting a weak learning algorithm by majority

Yoav Freund, Y. Freund, 1990, COLT '90.

Discussion of the Paper \additive Logistic Regression: a Statistical View of Boosting" By

Y. Freund, R. Schapire, R. Tibshirani, 2000 .

How to use expert advice

David Haussler, Yoav Freund, Manfred K. Warmuth, 1993, STOC.

Large Margin Classification Using the Perceptron Algorithm

Yoav Freund, Robert E. Schapire, Y. Freund, 1998, COLT' 98.

Predicting a binary sequence almost as well as the optimal biased coin

Yoav Freund, Y. Freund, 2003, COLT '96.

A decision-theoretic generalization of on-line learning and an application to boosting

Yoav Freund, Robert E. Schapire, Y. Freund, 1995, EuroCOLT.

Boosting a weak learning algorithm by majority

Yoav Freund, Y. Freund, 1995, COLT '90.

A decision-theoretic generalization of on-line learning and an application to boosting

Yoav Freund, Robert E. Schapire, Y. Freund, 1997, EuroCOLT.

Experiments with a New Boosting Algorithm

Yoav Freund, Robert E. Schapire, Y. Freund, 1996, ICML.

Data filtering and distribution modeling algorithms for machine learning

Yoav Freund, Y. Freund, 1993 .

Large Margin Classification Using the Perceptron Algorithm

Yoav Freund, Robert E. Schapire, Y. Freund, 1998, COLT.

Automatic identification of fluorescently labeled brain cells for rapid functional imaging.

Y. Freund, D. Kleinfeld, I. Valmianski, 2010, Journal of neurophysiology.

A Discussion of: "Process Consistency for AdaBoost" by Wenxin Jiang "On the Bayes-risk consistency of regularized boosting methods" by G´ abor Lugosi and Nicolas Vayatis "Statistical Behavior and Consistency of Classification Methods based on Convex Risk Minimization" by Tong Zhang

Y. Freund, R. Schapire, 2004 .

Game theory, on-line prediction and boosting

Yoav Freund, Robert E. Schapire, Y. Freund, 1996, COLT '96.

The Nonstochastic Multiarmed Bandit Problem

Peter Auer, Yoav Freund, Robert E. Schapire, 2002, SIAM J. Comput..

Using and combining predictors that specialize

Yoram Singer, Yoav Freund, Manfred K. Warmuth, 1997, STOC '97.

Self bounding learning algorithms

Yoav Freund, Y. Freund, 1998, COLT' 98.

The Fast Convergence of Incremental PCA

Sanjoy Dasgupta, Yoav Freund, Akshay Balsubramani, 2013, NIPS.

An Efficient Boosting Algorithm for Combining Preferences by

Yoram Singer, Yoav Freund, Robert E. Schapire, 2013 .

A more robust boosting algorithm

Yoav Freund, Y. Freund, 2009, 0905.2138.

Selective Sampling Using the Query by Committee Algorithm

H. Sebastian Seung, Yoav Freund, Naftali Tishby, 1997, Machine Learning.

Gambling in a rigged casino: The adversarial multi-armed bandit problem

Nicolò Cesa-Bianchi, Peter Auer, Yoav Freund, 1995, Proceedings of IEEE 36th Annual Foundations of Computer Science.

Information, Prediction, and Query by Committee

H. Sebastian Seung, Yoav Freund, Naftali Tishby, 1992, NIPS.

An improved boosting algorithm and its implications on learning complexity

Yoav Freund, Y. Freund, 1992, COLT '92.

Efficient algorithms for learning to play repeated games against computationally bounded adversaries

Ronitt Rubinfeld, Dana Ron, Yishay Mansour, 1995, Proceedings of IEEE 36th Annual Foundations of Computer Science.

A Short Introduction to Boosting

Yoav Freund, Robert E. Schapire, Y. Freund, 1999 .

Profile-based string kernels for remote homology detection and motif extraction.

Y. Freund, C. Leslie, C. Leslie, 2005, Journal of bioinformatics and computational biology.

Random projection trees and low dimensional manifolds

Sanjoy Dasgupta, Yoav Freund, Y. Freund, 2008, STOC.

Boosting: Foundations and Algorithms

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

An Adaptive Version of the Boost by Majority Algorithm

Yoav Freund, Y. Freund, 1999, COLT.

An Adaptive Version of the Boost by Majority Algorithm

Yoav Freund, Y. Freund, 1999, COLT '99.

Unsupervised improvement of visual detectors using cotraining

Paul A. Viola, Yoav Freund, Anat Levin, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Discussion of the paper "Arcing Classifiers" by Leo Breiman

Yoav Freund, Robert E. Schapire, Y. Freund, 1998 .

Learning to model sequences generated by switching distributions

Dana Ron, Yoav Freund, Y. Freund, 1995, COLT '95.

Learning the structure of manifolds using random projections

Sanjoy Dasgupta, Yoav Freund, Nakul Verma, 2007, NIPS.

Boosting a Weak Learning Algorithm by Majority to Be Published in Information and Computation

Y. Freund, 1995 .

On-line Prediction and Conversion Strategies

Nicolò Cesa-Bianchi, Yoav Freund, Manfred K. Warmuth, 1994, Machine Learning.

Random projection trees for vector quantization

Sanjoy Dasgupta, Yoav Freund, Y. Freund, 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

ResBoost: characterizing and predicting catalytic residues in enzymes

Yoav Freund, Ron Alterovitz, Kimmen Sjölander, 2009, BMC Bioinformatics.

Estimating a mixture of two product distributions

Yishay Mansour, Yoav Freund, Y. Mansour, 1999, COLT '99.

Learning Under Persistent Drift

Yishay Mansour, Yoav Freund, Y. Mansour, 1997, EuroCOLT.

Visualization of Individual Scr mRNAs during Drosophila Embryogenesis Yields Evidence for Transcriptional Bursting

Yoav Freund, William McGinnis, Y. Freund, 2009, Current Biology.

Using Adaboost for Equity Investment Scorecards

Germán G. Creamer, Y. Freund, 2005 .

Open Problem: Second order regret bounds parametrized by variance across actions and top percentile.

Y. Freund, 2016 .

A Boosting Approach for Automated Trading

Germán G. Creamer, Y. Freund, 2007 .

Application of Alternating Decision Trees in Selecting Sparse Linear Solvers

Victor Eijkhout, Erika Fuentes, Sanjukta Bhowmick, 2010, Software Automatic Tuning, From Concepts to State-of-the-Art Results.

Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks

Yoav Freund, Peter Gerstoft, Yihan Hu, 2021, IEEE Internet of Things Journal.

Audio scene monitoring using redundant un-localized microphone arrays pdf

Yoav Freund, Peter Gerstoft, Yihan Hu, 2021, ArXiv.

Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks

Yoav Freund, Germán G. Creamer, Y. Freund, 2010 .

How to use expert advice

Manfred K. Warmuth, Y. Freund, R. Schapire, 1997, JACM.

The non-stochastic multi-armed bandit problem

Y. Freund, R. Schapire, P. Auer, 2001 .

Eecient Learning of Typical Finite Automata from Random Walks Extended Abstract

Y. Freund, M. Kearns, D. Ron, 1996 .

Minimizing off-target signals in RNA fluorescent in situ hybridization

Y. Freund, W. McGinnis, Eugene Ie, 2010, Nucleic acids research.

Using AdaBoost to Minimize Training Error

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

A ShortIntroductionto Boosting Yoav Freund RobertE . Schapire AT & T Labs

Y. Freund, R. Schapire, N. Abe, 2000 .

Arithmetic Coding, Cumulative Log Loss, Exponential Weights Algorithms and Pruning Prediction Trees

Y. Freund, 2022 .

Predicting Performance and Quantifying Corporate Governance Risk for Latin American Adrs and Banks

Yoav Freund, Germán G. Creamer, Y. Freund, 2004 .

Active learning for visual object recognition

Yoav Freund, Yotam Abramson, Ben Laxton, 2005 .

Discussions of boosting papers, and rejoinders

Trevor Hastie, Peter J. Bickel, Robert Tibshirani, 2004 .

On-line Prediction and Conversion Strategies

Manfred K. Warmuth, Y. Freund, N. Cesa-Bianchi, 1994, Machine Learning.

Game Theory, Online Learning, and Boosting

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008

Yoav Freund, Robert E. Schapire, Y. Freund, 2008 .

ALT 2008. 19th international conference on algorithmic learning theory. Budapest, 2008. (Lecture notes in artificial intelligence 5254.)

Yoav Freund, László Györfi, Thomas Zeugmann, 2008 .

Proceedings of the Tenth Annual Conference on Computational Learning Theory, COLT 1997, Nashville, Tennessee, USA, July 6-9, 1997

Yoav Freund, Robert E. Schapire, Y. Freund, 1997, COLT.

Boosting in Continuous Time

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

Multiclass Classification Problems

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

Index of Algorithms, Figures, and Tables

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

Non-Adaptive Algorithms For The Write-All Problem

Yoav Freund, Y. Freund, 2010 .

Camera Pointing with Coordinate-Free Localization and Tracking

Yoav Freund, Evan Ettinger, Y. Freund, 2011 .

Invited talk: Drifting games, boosting and online learning

Yoav Freund, Y. Freund, 2009, International Conference on Machine Learning.

Lamellipodial Actin Mechanically Links Myosin Activity with Adhesion-Site Formation

Yoav Freund, Michael P. Sheetz, Grégory Giannone, 2007, Cell.

Supplementary Data for “ Image-Based Detection of Crystals : A Machine Learning Approach ”

Y. Freund, Roy Liu, 2008 .

Optimal Online Learning using Potential Functions

Y. Freund, 2021, 2106.10717.

SEGMENTATION OF NUCLEI IN CONFOCAL IMAGE STACKS USING PERFORMANCE BASED THRESHOLDING

Yoav Freund, William McGinnis, David Kosman, 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Exploration Strategies for Model-based Learning 37 Convergence Results for Single-step On-policy Reinforcement-learning Algorithms. Machine Learning Journal Exploration Strategies for Model-based Learning Exploration Strategies for Model-based Learning

Y. Mansour, Y. Freund, R. Schapire, 2007 .

Optimal Binary Classifier Aggregation for General Losses

Yoav Freund, Akshay Balsubramani, Y. Freund, 2015, NIPS.

Co-adaptation in a Handwriting Recognition System

Yoav Freund, Sunsern Cheamanunkul, Y. Freund, 2014, 2018 15th International Joint Conference on Computer Science and Software Engineering (JCSSE).

An adaptive nearest neighbor rule for classification

Shay Moran, Sanjoy Dasgupta, Yoav Freund, 2019, NeurIPS.

Towards automated high-throughput screening of C. elegans on agar pdf

Yoav Freund, Anne E Carpenter, Anne E. Carpenter, 2010, ArXiv.

The Alternating Decision Tree Learning Algorithm

Yoav Freund, Llew Mason, Y. Freund, 1999, ICML.

An introduction to boosting based classification

Y. Freund, 2022 .

Identifying metabolic enzymes with multiple types of association evidence

Yoav Freund, Lifeng Chen, George M. Church, 2006, BMC Bioinformatics.

Why averaging classifiers can protect against overfitting

Yishay Mansour, Yoav Freund, Robert E. Schapire, 2001, AISTATS.

Efficient learning of typical finite automata from random walks

Ronitt Rubinfeld, Dana Ron, Linda Sellie, 1993, STOC.

Profile-based string kernels for remote homology detection and motif extraction

Ke Wang, Kai Wang, Yoav Freund, 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..

An active texture-based digital atlas enables automated mapping of structures and markers across brains

Yoav Freund, David Kleinfeld, Yuncong Chen, 2019, Nature Methods.

Learning a Board Balanced Scorecard to Improve Corporate Performance

Yoav Freund, Germán Creamer, Germán G. Creamer, 2010, Decis. Support Syst..

Automated trading with boosting and expert weighting

Yoav Freund, Germán G. Creamer, Y. Freund, 2010 .

Image-based crystal detection: a machine-learning approach

Yoav Freund, Roy Liu, Glen Spraggon, 2008, Acta crystallographica. Section D, Biological crystallography.

Predicting genetic regulatory response using classification

Yoav Freund, Chris Wiggins, Anshul Kundaje, 2004, ISMB/ECCB.

Foundations of Machine Learning

Yoav Freund, Robert E. Schapire, Y. Freund, 2012 .

When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint pdf

Yoav Freund, Tong Zhang, Yi-An Ma, 2021, J. Mach. Learn. Res..

An Online Learning-based Framework for Tracking

Yoav Freund, Kamalika Chaudhuri, Daniel J. Hsu, 2010, UAI.

A method for Hedging in continuous time pdf

Yoav Freund, Y. Freund, 2009, ArXiv.

A Parameter-free Hedging Algorithm

Yoav Freund, Kamalika Chaudhuri, Daniel J. Hsu, 2009, NIPS.

Typicality-Based Stability and Privacy pdf

Raef Bassily, Yoav Freund, Y. Freund, 2016, ArXiv.

Improving FPGA accelerated tracking with multiple online trained classifiers

Yoav Freund, Ryan Kastner, Matthew Jacobsen, 2014, 2014 24th International Conference on Field Programmable Logic and Applications (FPL).

RIFFA: A Reusable Integration Framework for FPGA Accelerators

Yoav Freund, Ryan Kastner, Matthew Jacobsen, 2012, 2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines.

Boosting

Y. Freund, R. Schapire, 2012 .

A classification-based framework for predicting and analyzing gene regulatory response

Yoav Freund, Chris Wiggins, Anshul Kundaje, 2006, BMC Bioinformatics.

Faster Boosting with Smaller Memory

Yoav Freund, Julaiti Alafate, Y. Freund, 2019, NeurIPS.

Boosting: Foundations and Algorithms

Alex M. Andrew, Y. Freund, R. Schapire, 2012 .

Robust Landmark Detection for Alignment of Mouse Brain Section Images pdf

Yoav Freund, David Kleinfeld, Yuncong Chen, 2018, ArXiv.

Occlusion boundary detection using an online learning framework

Truong Q. Nguyen, Yoav Freund, Natan Jacobson, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Online Learning Approach to Occlusion Boundary Detection

Truong Q. Nguyen, Yoav Freund, Natan Jacobson, 2012, IEEE Transactions on Image Processing.

Application of Machine Learning in Selecting Sparse Linear Solvers ⋆

V. Eijkhout, D. Keyes, Y. Freund, 2006 .

StreaMRAK a streaming multi-resolution adaptive kernel algorithm pdf

Alexander Cloninger, Yoav Freund, Valeriya Naumova, 2021, Appl. Math. Comput..

Non-Convex Boosting Overcomes Random Label Noise pdf

Yoav Freund, Sunsern Cheamanunkul, Evan Ettinger, 2014, ArXiv.

The Active Atlas: Combining 3D Anatomical Models with Texture Detectors

Yoav Freund, Partha P. Mitra, Yuncong Chen, 2017, MICCAI.

Drifting Games and Brownian Motion

Yoav Freund, Manfred Opper, Y. Freund, 2002, J. Comput. Syst. Sci..

An active texture-based digital atlas enables automated mapping of structures and markers across brains

Y. Freund, D. Kleinfeld, H. Karten, 2019, Nature Methods.

Optimally Combining Classifiers Using Unlabeled Data pdf

Yoav Freund, Akshay Balsubramani, Y. Freund, 2015, COLT.

PAC-Bayes with Minimax for Confidence-Rated Transduction pdf

Yoav Freund, Akshay Balsubramani, Y. Freund, 2015, ArXiv.

Tracking using explanation-based modeling

Daniel J. Hsu, Y. Freund, Kamalika Chaudhuri, 2009, arXiv.org.

Optimal potentials for hedging algorithms

Y. Freund, 2022 .

Strategies for convex potential games and an application to decision-theoretic online learning

Y. Freund, August, 2021 .

Second order bounds for online prediction

Y. Freund, 2021 .

An Optimal potential-based hedging algorithm

Yoav Freund, Y. Freund, 2021 .

Aggregating Binary Classifiers Optimally with General Losses

Yoav Freund, Akshay Balsubramani, Y. Freund, 2015 .

Particle Filtering on the Audio Localization Manifold pdf

Yoav Freund, Evan Ettinger, Y. Freund, 2010, ArXiv.

Detecting, tracking and interacting with people in a public space

Yoav Freund, Matthew Jacobsen, Sunsern Cheamanunkul, 2009, ICMI-MLMI '09.

On-line prediction and conversion strategies

Manfred K. Warmuth, Y. Freund, N. Cesa-Bianchi, 2004, Machine Learning.

Muffled Semi-Supervised Learning pdf

Yoav Freund, Akshay Balsubramani, Y. Freund, 2016, ArXiv.

Selective Sampling Using the Query by Committee Algorithm

Y. Freund, H. Seung, Naftali Tishby, 1997, Machine Learning.

An Efficient Boosting Algorithm for Combining Preferences

Y. Freund, R. Schapire, Y. Singer, 1998, J. Mach. Learn. Res..

Motif Discovery Through Predictive Modeling of Gene Regulation

Yoav Freund, Chris Wiggins, Anshul Kundaje, 2005, RECOMB.

Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response

Yoav Freund, Chris Wiggins, Anshul Kundaje, 2004, Regulatory Genomics.