Yoav Freund

Publication Activity (10 Years)

Years Active: 1990-2024
Publications (10 Years): 34

Top Venues

CoRR

NIPS

COLT

NeurIPS

Publications

Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund
Towards Explainable Automated Neuroanatomy. CoRR (2024)
Sanjoy Dasgupta, Yoav Freund
Active learning using region-based sampling. CoRR (2023)
Robi Bhattacharjee, Alexander Cloninger, Yoav Freund, Andreas Oslandsbotn
Effective resistance in metric spaces. CoRR (2023)
Robi Bhattacharjee, Alex Cloninger, Yoav Freund
Structure from Voltage. CoRR (2022)
Yoav Freund, Yi-An Ma, Tong Zhang
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint. J. Mach. Learn. Res. 23 (2022)
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. 426 (2022)
Peter Gerstoft, Yihan Hu, Michael J. Bianco, Chaitanya Patil, Ardel Alegre, Yoav Freund, François Grondin
Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks. IEEE Internet Things J. 9 (6) (2022)
Anup Bhattacharya, Yoav Freund, Ragesh Jaiswal
-means/median cost function. Inf. Process. Lett. 177 (2022)
Yoav Freund
Optimal Strategies for Decision Theoretic Online Learning. CoRR (2021)
Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR (2021)
Yoav Freund, Yi-An Ma, Tong Zhang
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint. CoRR (2021)
Peter Gerstoft, Yihan Hu, Chaitanya Patil, Ardel Alegre, Michael J. Bianco, Yoav Freund, François Grondin
Audio scene monitoring using redundant un-localized microphone arrays. CoRR (2021)
Julaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozer
Experimental Design for Bathymetry Editing. CoRR (2020)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
An adaptive nearest neighbor rule for classification. NeurIPS (2019)
Julaiti Alafate, Yoav Freund
Faster Boosting with Smaller Memory. NeurIPS (2019)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
An adaptive nearest neighbor rule for classification. CoRR (2019)
Julaiti Alafate, Yoav Freund
Faster Boosting with Smaller Memory. CoRR (2019)
Yuncong Chen, David Kleinfeld, Martyn Goulding, Yoav Freund
Robust Landmark Detection for Alignment of Mouse Brain Section Images. CoRR (2018)
Julaiti Alafate, Yoav Freund
Tell Me Something New: A New Framework for Asynchronous Parallel Learning. CoRR (2018)
Sunsern Cheamanunkul, Yoav Freund
Co-adaptation in a Handwriting Recognition System. JCSSE (2018)
Yuncong Chen, David Kleinfeld, Yoav Freund
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. CoRR (2017)
Yuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey J. Karten, Partha P. Mitra, David Kleinfeld, Yoav Freund
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. MICCAI (1) (2017)
Akshay Balsubramani, Yoav Freund
Optimal Binary Classifier Aggregation for General Losses. NIPS (2016)
Yoav Freund
Open Problem: Second order regret bounds based on scaling time. COLT (2016)
Raef Bassily, Yoav Freund
Typicality-Based Stability and Privacy. CoRR (2016)
Akshay Balsubramani, Yoav Freund
Muffled Semi-Supervised Learning. CoRR (2016)
Akshay Balsubramani, Yoav Freund
Optimally Combining Classifiers Using Unlabeled Data. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Scalable Semi-Supervised Classifier Aggregation. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Scalable Semi-Supervised Aggregation of Classifiers. NIPS (2015)
Akshay Balsubramani, Yoav Freund
Minimax Binary Classifier Aggregation with General Losses. CoRR (2015)
Akshay Balsubramani, Yoav Freund
PAC-Bayes with Minimax for Confidence-Rated Transduction. CoRR (2015)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
The Fast Convergence of Incremental PCA. CoRR (2015)
Akshay Balsubramani, Yoav Freund
Optimally Combining Classifiers Using Unlabeled Data. COLT (2015)
Yannis Katsis, Yoav Freund, Yannis Papakonstantinou
Combining Databases and Signal Processing in Plato. CIDR (2015)
Sunsern Cheamanunkul, Yoav Freund
Co-adaptation in a Handwriting Recognition System. CoRR (2014)
Matthew Elkherj, Yoav Freund
A system for sending the right hint at the right time. L@S (2014)
Sunsern Cheamanunkul, Yoav Freund
Improved kNN Rule for Small Training Sets. ICMLA (2014)
Matthew Jacobsen, Siddarth Sampangi, Yoav Freund, Ryan Kastner
Improving FPGA accelerated tracking with multiple online trained classifiers. FPL (2014)
Sunsern Cheamanunkul, Evan Ettinger, Yoav Freund
Non-Convex Boosting Overcomes Random Label Noise. CoRR (2014)
Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
The Fast Convergence of Incremental PCA. NIPS (2013)
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
An Online Learning-based Framework for Tracking CoRR (2012)
Natan Jacobson, Yoav Freund, Truong Q. Nguyen
An Online Learning Approach to Occlusion Boundary Detection. IEEE Trans. Image Process. 21 (1) (2012)
Matthew Jacobsen, Yoav Freund, Ryan Kastner
RIFFA: A Reusable Integration Framework for FPGA Accelerators. FCCM (2012)
Natan Jacobson, Yoav Freund, Truong Q. Nguyen
Occlusion boundary detection using an online learning framework. ICASSP (2011)
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
Towards automated high-throughput screening of C. elegans on agar CoRR (2010)
Evan Ettinger, Yoav Freund
Particle Filtering on the Audio Localization Manifold CoRR (2010)
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
An Online Learning-based Framework for Tracking. UAI (2010)
Germán Creamer, Yoav Freund
Learning a board Balanced Scorecard to improve corporate performance. Decis. Support Syst. 49 (4) (2010)
Jack Tzeng, Yoav Freund, Truong Nguyen
Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems. ICIP (2010)
Yoav Freund
Data winnowing. KDD (2010)
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
A parameter-free hedging algorithm CoRR (2009)
Yoav Freund
Invited talk: Drifting games, boosting and online learning. ICML (2009)
Yoav Freund
A method for Hedging in continuous time CoRR (2009)
Sanjoy Dasgupta, Yoav Freund
Random projection trees for vector quantization. IEEE Trans. Inf. Theory 55 (7) (2009)
Sunsern Cheamanunkul, Evan Ettinger, Matthew Jacobsen, Patrick Lai, Yoav Freund
Detecting, tracking and interacting with people in a public space. ICMI (2009)
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
Tracking using explanation-based modeling CoRR (2009)
Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander
ResBoost: characterizing and predicting catalytic residues in enzymes. BMC Bioinform. 10 (2009)
Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
A Parameter-free Hedging Algorithm. NIPS (2009)
Yoav Freund, Daniel J. Hsu
A new Hedging algorithm and its application to inferring latent random variables CoRR (2008)
Yoav Freund
From Microscopy Images to Models of Cellular Processes. ECML/PKDD (1) (2008)
Sanjoy Dasgupta, Yoav Freund
Random projection trees for vector quantization. Allerton (2008)
Sanjoy Dasgupta, Yoav Freund
Random projection trees and low dimensional manifolds. STOC (2008)
Evan Ettinger, Yoav Freund
Coordinate-free calibration of an acoustically driven camera pointing system. ICDSC (2008)
Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma
Learning the structure of manifolds using random projections. NIPS (2007)
William Beaver, David Kosman, Gary Tedeschi, Ethan Bier, William McGinnis, Yoav Freund
Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding. ISBI (2007)
Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie
A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinform. 7 (S-1) (2006)
Peter V. Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M. Church
Identifying metabolic enzymes with multiple types of association evidence. BMC Bioinform. 7 (2006)
Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie
Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB (2005)
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) (2004)
Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics (2004)
Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie
Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB (2004)
Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang
Universal Coding of Zipf Distributions. COLT (2003)
Anat Levin, Paul A. Viola, Yoav Freund
Unsupervised Improvement of Visual Detectors using Co-Training. ICCV (2003)
Yoav Freund
Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. 182 (2) (2003)
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
An Efficient Boosting Algorithm for Combining Preferences. J. Mach. Learn. Res. 4 (2003)
Yoav Freund, Manfred Opper
Drifting Games and Brownian Motion. J. Comput. Syst. Sci. 64 (1) (2002)
Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32 (1) (2002)
Yoav Freund, Yishay Mansour, Robert E. Schapire
Why averaging classifiers can protect against overfitting. AISTATS (2001)
Yoav Freund
An Adaptive Version of the Boost by Majority Algorithm. Mach. Learn. 43 (3) (2001)
Yoav Freund, Manfred Opper
Continuous Drifting Games. COLT (2000)
Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
Gambling in a rigged casino: The adversarial multi-armed bandit problem Electron. Colloquium Comput. Complex. 7 (68) (2000)
Yoav Freund
An Adaptive Version of the Boost by Majority Algorithm. COLT (1999)
Yoav Freund, Llew Mason
The Alternating Decision Tree Learning Algorithm. ICML (1999)
Yoav Freund, Robert E. Schapire
Large Margin Classification Using the Perceptron Algorithm. Mach. Learn. 37 (3) (1999)
Yoav Freund, Yishay Mansour
Estimating a Mixture of Two Product Distributions. COLT (1999)
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
An Efficient Boosting Algorithm for Combining Preferences. ICML (1998)
Yoav Freund
Self Bounding Learning Algorithms. COLT (1998)
Yoav Freund, Robert E. Schapire
Large Margin Classification Using the Perceptron Algorithm. COLT (1998)
Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth
How to use expert advice. J. ACM 44 (3) (1997)
Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
Selective Sampling Using the Query by Committee Algorithm. Mach. Learn. 28 (2-3) (1997)
Yoav Freund, Robert E. Schapire
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. J. Comput. Syst. Sci. 55 (1) (1997)
Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee
Boosting the margin: A new explanation for the effectiveness of voting methods. ICML (1997)
Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie
Efficient Learning of Typical Finite Automata from Random Walks. Inf. Comput. 138 (1) (1997)
Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
Using and Combining Predictors That Specialize. STOC (1997)
Yoav Freund, Yishay Mansour
Learning Under Persistent Drift. EuroCOLT (1997)
Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth
On-line Prediction and Conversion Strategies. Mach. Learn. 25 (1) (1996)
Yoav Freund
Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. COLT (1996)
Yoav Freund, Robert E. Schapire
Experiments with a New Boosting Algorithm. ICML (1996)
Yoav Freund, Robert E. Schapire
Game Theory, On-Line Prediction and Boosting. COLT (1996)
Yoav Freund, Robert E. Schapire
A decision-theoretic generalization of on-line learning and an application to boosting. EuroCOLT (1995)

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Publication Activity (10 Years)

Top Topics

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Yoav Freund