default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYoav Freund
Person information
- affiliation: University of California, San Diego, USA
- award (2004): Paris Kanellakis Award
- award (2003): Gödel Prize
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j23]Kui Qian, Beth Friedman
, Jun Takatoh, Alexander Groisman, Fan Wang, David Kleinfeld, Yoav Freund:
CellBoost: A pipeline for machine assisted annotation in neuroanatomy. AI Open 5: 142-154 (2024)- [c59]Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund:
Towards Explainable Automated Neuroanatomy. MICCAI (3) 2024: 477-486 - [i31]Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund:
Towards Explainable Automated Neuroanatomy. CoRR abs/2404.05814 (2024) - 2023
- [i30]Sanjoy Dasgupta, Yoav Freund:
Active learning using region-based sampling. CoRR abs/2303.02721 (2023) - [i29]Robi Bhattacharjee, Alexander Cloninger, Yoav Freund, Andreas Oslandsbotn:
Effective resistance in metric spaces. CoRR abs/2306.15649 (2023) - 2022
- [j22]Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger:
StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. 426: 127112 (2022) - [j21]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): 4259-4268 (2022) - [j20]Anup Bhattacharya, Yoav Freund, Ragesh Jaiswal:
On the k-means/median cost function. Inf. Process. Lett. 177: 106252 (2022) - [j19]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: 214:1-214:32 (2022) - [i28]Robi Bhattacharjee, Alex Cloninger, Yoav Freund:
Structure from Voltage. CoRR abs/2203.00063 (2022) - 2021
- [i27]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 abs/2103.01830 (2021) - [i26]Yoav Freund:
Optimal Strategies for Decision Theoretic Online Learning. CoRR abs/2106.10717 (2021) - [i25]Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger:
SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR abs/2108.10411 (2021) - [i24]Yoav Freund, Yi-An Ma, Tong Zhang:
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint. CoRR abs/2110.01827 (2021) - 2020
- [i23]Julaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozer:
Experimental Design for Bathymetry Editing. CoRR abs/2007.07495 (2020)
2010 – 2019
- 2019
- [c58]Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran:
An adaptive nearest neighbor rule for classification. NeurIPS 2019: 7577-7586 - [c57]Julaiti Alafate, Yoav Freund:
Faster Boosting with Smaller Memory. NeurIPS 2019: 11367-11376 - [i22]Julaiti Alafate, Yoav Freund:
Faster Boosting with Smaller Memory. CoRR abs/1901.09047 (2019) - [i21]Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran:
An adaptive nearest neighbor rule for classification. CoRR abs/1905.12717 (2019) - 2018
- [c56]Sunsern Cheamanunkul, Yoav Freund:
Co-adaptation in a Handwriting Recognition System. JCSSE 2018: 1-6 - [i20]Yuncong Chen, David Kleinfeld, Martyn Goulding, Yoav Freund:
Robust Landmark Detection for Alignment of Mouse Brain Section Images. CoRR abs/1803.03420 (2018) - [i19]Julaiti Alafate, Yoav Freund:
Tell Me Something New: A New Framework for Asynchronous Parallel Learning. CoRR abs/1805.07483 (2018) - 2017
- [c55]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: 3-11 - [i18]Yuncong Chen, David Kleinfeld, Yoav Freund:
The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. CoRR abs/1702.08606 (2017) - 2016
- [c54]Yoav Freund:
Open Problem: Second order regret bounds based on scaling time. COLT 2016: 1651-1654 - [c53]Akshay Balsubramani, Yoav Freund:
Optimal Binary Classifier Aggregation for General Losses. NIPS 2016: 5033-5040 - [i17]Raef Bassily, Yoav Freund:
Typicality-Based Stability and Privacy. CoRR abs/1604.03336 (2016) - [i16]Akshay Balsubramani, Yoav Freund:
Muffled Semi-Supervised Learning. CoRR abs/1605.08833 (2016) - 2015
- [c52]Yannis Katsis, Yoav Freund, Yannis Papakonstantinou:
Combining Databases and Signal Processing in Plato. CIDR 2015 - [c51]Akshay Balsubramani, Yoav Freund:
Optimally Combining Classifiers Using Unlabeled Data. COLT 2015: 211-225 - [c50]Akshay Balsubramani, Yoav Freund:
Scalable Semi-Supervised Aggregation of Classifiers. NIPS 2015: 1351-1359 - [i15]Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund:
The Fast Convergence of Incremental PCA. CoRR abs/1501.03796 (2015) - [i14]Akshay Balsubramani, Yoav Freund:
PAC-Bayes with Minimax for Confidence-Rated Transduction. CoRR abs/1501.03838 (2015) - [i13]Akshay Balsubramani, Yoav Freund:
Optimally Combining Classifiers Using Unlabeled Data. CoRR abs/1503.01811 (2015) - [i12]Akshay Balsubramani, Yoav Freund:
Scalable Semi-Supervised Classifier Aggregation. CoRR abs/1506.05790 (2015) - [i11]Akshay Balsubramani, Yoav Freund:
Minimax Binary Classifier Aggregation with General Losses. CoRR abs/1510.00452 (2015) - 2014
- [c49]Matthew Jacobsen, Siddarth Sampangi, Yoav Freund, Ryan Kastner:
Improving FPGA accelerated tracking with multiple online trained classifiers. FPL 2014: 1-7 - [c48]Sunsern Cheamanunkul, Yoav Freund:
Improved kNN Rule for Small Training Sets. ICMLA 2014: 201-206 - [c47]Matthew Elkherj, Yoav Freund:
A system for sending the right hint at the right time. L@S 2014: 219-220 - [i10]Sunsern Cheamanunkul, Yoav Freund:
Co-adaptation in a Handwriting Recognition System. CoRR abs/1409.2897 (2014) - [i9]Sunsern Cheamanunkul, Evan Ettinger, Yoav Freund:
Non-Convex Boosting Overcomes Random Label Noise. CoRR abs/1409.2905 (2014) - 2013
- [c46]Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund:
The Fast Convergence of Incremental PCA. NIPS 2013: 3174-3182 - 2012
- [j18]Natan Jacobson, Yoav Freund, Truong Q. Nguyen:
An Online Learning Approach to Occlusion Boundary Detection. IEEE Trans. Image Process. 21(1): 252-261 (2012) - [c45]Matthew Jacobsen, Yoav Freund, Ryan Kastner:
RIFFA: A Reusable Integration Framework for FPGA Accelerators. FCCM 2012: 216-219 - [i8]Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu:
An Online Learning-based Framework for Tracking. CoRR abs/1203.3471 (2012) - 2011
- [c44]Natan Jacobson, Yoav Freund, Truong Q. Nguyen:
Occlusion boundary detection using an online learning framework. ICASSP 2011: 913-916 - 2010
- [j17]Germán Creamer, Yoav Freund:
Learning a board Balanced Scorecard to improve corporate performance. Decis. Support Syst. 49(4): 365-385 (2010) - [c43]Jack Tzeng, Yoav Freund, Truong Nguyen:
Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems. ICIP 2010: 1173-1176 - [c42]Yoav Freund:
Data winnowing. KDD 2010: 3-4 - [c41]Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu:
An Online Learning-based Framework for Tracking. UAI 2010: 101-108 - [p1]Sanjukta Bhowmick, Victor Eijkhout, Yoav Freund, Erika Fuentes, David E. Keyes:
Application of Alternating Decision Trees in Selecting Sparse Linear Solvers. Software Automatic Tuning, From Concepts to State-of-the-Art Results 2010: 153-173 - [i7]Evan Ettinger, Yoav Freund:
Particle Filtering on the Audio Localization Manifold. CoRR abs/1003.0659 (2010) - [i6]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 abs/1003.4287 (2010)
2000 – 2009
- 2009
- [j16]Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander:
ResBoost: characterizing and predicting catalytic residues in enzymes. BMC Bioinform. 10 (2009) - [j15]Sanjoy Dasgupta, Yoav Freund:
Random projection trees for vector quantization. IEEE Trans. Inf. Theory 55(7): 3229-3242 (2009) - [c40]Sunsern Cheamanunkul, Evan Ettinger, Matthew Jacobsen, Patrick Lai, Yoav Freund:
Detecting, tracking and interacting with people in a public space. ICMI 2009: 79-86 - [c39]Yoav Freund:
Invited talk: Drifting games, boosting and online learning. ICML 2009: 2 - [c38]Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu:
A Parameter-free Hedging Algorithm. NIPS 2009: 297-305 - [i5]Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu:
A parameter-free hedging algorithm. CoRR abs/0903.2851 (2009) - [i4]Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu:
Tracking using explanation-based modeling. CoRR abs/0903.2862 (2009) - [i3]Yoav Freund:
A method for Hedging in continuous time. CoRR abs/0904.3356 (2009) - 2008
- [c37]Sanjoy Dasgupta, Yoav Freund:
Random projection trees for vector quantization. Allerton 2008: 192-197 - [c36]Evan Ettinger, Yoav Freund:
Coordinate-free calibration of an acoustically driven camera pointing system. ICDSC 2008: 1-9 - [c35]Yoav Freund:
From Microscopy Images to Models of Cellular Processes. ECML/PKDD (1) 2008: 2 - [c34]Sanjoy Dasgupta, Yoav Freund:
Random projection trees and low dimensional manifolds. STOC 2008: 537-546 - [e2]Yoav Freund, László Györfi, György Turán, Thomas Zeugmann:
Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings. Lecture Notes in Computer Science 5254, Springer 2008, ISBN 978-3-540-87986-2 [contents] - [i2]Yoav Freund, Daniel J. Hsu:
A new Hedging algorithm and its application to inferring latent random variables. CoRR abs/0806.4802 (2008) - 2007
- [c33]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: 53-56 - [c32]Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma:
Learning the structure of manifolds using random projections. NIPS 2007: 473-480 - 2006
- [j14]Peter V. Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M. Church:
Identifying metabolic enzymes with multiple types of association evidence. BMC Bioinform. 7: 177 (2006) - [j13]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) - 2005
- [c31]Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie:
Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB 2005: 538-552 - 2004
- [c30]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: 152-160 - [c29]Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie:
Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240 - [c28]Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie:
Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics 2004: 1-13 - 2003
- [j12]Yoav Freund:
Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. 182(2): 73-94 (2003) - [j11]Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer:
An Efficient Boosting Algorithm for Combining Preferences. J. Mach. Learn. Res. 4: 933-969 (2003) - [c27]Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang:
Universal Coding of Zipf Distributions. COLT 2003: 736-737 - [c26]Anat Levin, Paul A. Viola, Yoav Freund:
Unsupervised Improvement of Visual Detectors using Co-Training. ICCV 2003: 626-633 - 2002
- [j10]Yoav Freund, Manfred Opper:
Drifting Games and Brownian Motion. J. Comput. Syst. Sci. 64(1): 113-132 (2002) - [j9]Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire:
The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. 32(1): 48-77 (2002) - 2001
- [j8]Yoav Freund:
An Adaptive Version of the Boost by Majority Algorithm. Mach. Learn. 43(3): 293-318 (2001) - [c25]Yoav Freund, Yishay Mansour, Robert E. Schapire:
Why averaging classifiers can protect against overfitting. AISTATS 2001: 98-105 - 2000
- [c24]Yoav Freund, Manfred Opper:
Continuous Drifting Games. COLT 2000: 126-132 - [i1]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. TR00 (2000)
1990 – 1999
- 1999
- [j7]Yoav Freund, Robert E. Schapire:
Large Margin Classification Using the Perceptron Algorithm. Mach. Learn. 37(3): 277-296 (1999) - [c23]Yoav Freund, Yishay Mansour:
Estimating a Mixture of Two Product Distributions. COLT 1999: 53-62 - [c22]Yoav Freund:
An Adaptive Version of the Boost by Majority Algorithm. COLT 1999: 102-113 - [c21]Yoav Freund, Llew Mason:
The Alternating Decision Tree Learning Algorithm. ICML 1999: 124-133 - 1998
- [c20]Yoav Freund, Robert E. Schapire:
Large Margin Classification Using the Perceptron Algorithm. COLT 1998: 209-217 - [c19]Yoav Freund:
Self Bounding Learning Algorithms. COLT 1998: 247-258 - [c18]Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer:
An Efficient Boosting Algorithm for Combining Preferences. ICML 1998: 170-178 - 1997
- [j6]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): 23-48 (1997) - [j5]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): 427-485 (1997) - [j4]Yoav Freund, Robert E. Schapire:
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. J. Comput. Syst. Sci. 55(1): 119-139 (1997) - [j3]Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby:
Selective Sampling Using the Query by Committee Algorithm. Mach. Learn. 28(2-3): 133-168 (1997) - [c17]Yoav Freund, Yishay Mansour:
Learning Under Persistent Drift. EuroCOLT 1997: 109-118 - [c16]Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee:
Boosting the margin: A new explanation for the effectiveness of voting methods. ICML 1997: 322-330 - [c15]Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth:
Using and Combining Predictors That Specialize. STOC 1997: 334-343 - [e1]Yoav Freund, Robert E. Schapire:
Proceedings of the Tenth Annual Conference on Computational Learning Theory, COLT 1997, Nashville, Tennessee, USA, July 6-9, 1997. ACM 1997, ISBN 0-89791-891-6 [contents] - 1996
- [j2]Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth:
On-line Prediction and Conversion Strategies. Mach. Learn. 25(1): 71-110 (1996) - [c14]Yoav Freund:
Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. COLT 1996: 89-98 - [c13]Yoav Freund, Robert E. Schapire:
Game Theory, On-Line Prediction and Boosting. COLT 1996: 325-332 - [c12]Yoav Freund, Robert E. Schapire:
Experiments with a New Boosting Algorithm. ICML 1996: 148-156 - 1995
- [j1]Yoav Freund:
Boosting a Weak Learning Algorithm by Majority. Inf. Comput. 121(2): 256-285 (1995) - [c11]Yoav Freund, Dana Ron:
Learning to Model Sequences Generated by Switching Distributions. COLT 1995: 41-50 - [c10]Yoav Freund, Robert E. Schapire:
A decision-theoretic generalization of on-line learning and an application to boosting. EuroCOLT 1995: 23-37 - [c9]Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire:
Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. FOCS 1995: 322-331 - [c8]Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire:
Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. FOCS 1995: 332-341 - 1993
- [c7]Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth:
On-line prediction and conversion strategies. EuroCOLT 1993: 205-216 - [c6]Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie:
Efficient learning of typical finite automata from random walks. STOC 1993: 315-324 - [c5]Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth:
How to use expert advice. STOC 1993: 382-391 - 1992
- [c4]Yoav Freund:
An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT 1992: 391-398 - [c3]Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby:
Information, Prediction, and Query by Committee. NIPS 1992: 483-490 - 1991
- [c2]Yoav Freund, David Haussler:
Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS 1991: 912-919 - 1990
- [c1]Yoav Freund:
Boosting a Weak Learning Algorithm by Majority. COLT 1990: 202-216
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-11 18:21 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
