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Yoav Freund
Person information
- affiliation: University of California, San Diego, USA
- award (2004): Paris Kanellakis Award
- award (2003): Gödel Prize
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2020 – today
- 2024
- [j23]Kui Qian, Beth Friedman
, Jun Takatoh
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
StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. 426: 127112 (2022) - [j21]Peter Gerstoft
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
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
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
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
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
A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinform. 7(S-1) (2006) - 2005
- [c31]Manuel Middendorf, Anshul Kundaje
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
Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) 2004: 232-240 - [c28]Manuel Middendorf, Anshul Kundaje
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
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
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
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