Yoav Freund - RankMe

117 papers A* 29A 3B 6C 1Misc 2Journal 55Unranked 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A second order regret bound for NormalHedge. CoRR Yoav Freund, Nicholas J. A. Harvey, Victor S. Portella, Yabing Qi, Yu-Xiang Wang
2024	J	`jnl`	CellBoost: A pipeline for machine assisted annotation in neuroanatomy. AI Open Kui Qian, Beth Friedman, Jun Takatoh, Alexander Groisman, Fan Wang, David Kleinfeld, Yoav Freund
2024	—	`conf`	Towards Explainable Automated Neuroanatomy. MICCAI (3) Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund
2024	J	`jnl`	Towards Explainable Automated Neuroanatomy. CoRR Kui Qian, Litao Qiao, Beth Friedman, Edward O'Donnell, David Kleinfeld, Yoav Freund
2023	J	`jnl`	Active learning using region-based sampling. CoRR Sanjoy Dasgupta, Yoav Freund
2023	J	`jnl`	Effective resistance in metric spaces. CoRR Robi Bhattacharjee, Alexander Cloninger, Yoav Freund, Andreas Oslandsbotn
2022	J	`jnl`	Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks. IEEE Internet Things J. Peter Gerstoft, Yihan Hu, Michael J. Bianco, Chaitanya Patil, Ardel Alegre, Yoav Freund, François Grondin
2022	J	`jnl`	On the Inf. Process. Lett. Anup Bhattacharya, Yoav Freund, Ragesh Jaiswal
2022	J	`jnl`	StreaMRAK a streaming multi-resolution adaptive kernel algorithm. Appl. Math. Comput. Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
2022	J	`jnl`	Structure from Voltage. CoRR Robi Bhattacharjee, Alex Cloninger, Yoav Freund
2022	J	`jnl`	When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint. J. Mach. Learn. Res. Yoav Freund, Yi-An Ma, Tong Zhang
2021	J	`jnl`	Audio scene monitoring using redundant un-localized microphone arrays. CoRR Peter Gerstoft, Yihan Hu, Chaitanya Patil, Ardel Alegre, Michael J. Bianco, Yoav Freund, François Grondin
2021	J	`jnl`	Optimal Strategies for Decision Theoretic Online Learning. CoRR Yoav Freund
2021	J	`jnl`	SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm. CoRR Andreas Oslandsbotn, Zeljko Kereta, Valeriya Naumova, Yoav Freund, Alexander Cloninger
2021	J	`jnl`	When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint. CoRR Yoav Freund, Yi-An Ma, Tong Zhang
2020	J	`jnl`	Experimental Design for Bathymetry Editing. CoRR Julaiti Alafate, Yoav Freund, David T. Sandwell, Brook Tozer
2019	A*	`conf`	An adaptive nearest neighbor rule for classification. NeurIPS Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
2019	J	`jnl`	An adaptive nearest neighbor rule for classification. CoRR Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund, Shay Moran
2019	A*	`conf`	Faster Boosting with Smaller Memory. NeurIPS Julaiti Alafate, Yoav Freund
2019	J	`jnl`	Faster Boosting with Smaller Memory. CoRR Julaiti Alafate, Yoav Freund
2018	—	`conf`	Co-adaptation in a Handwriting Recognition System. JCSSE Sunsern Cheamanunkul, Yoav Freund
2018	J	`jnl`	Robust Landmark Detection for Alignment of Mouse Brain Section Images. CoRR Yuncong Chen, David Kleinfeld, Martyn Goulding, Yoav Freund
2018	J	`jnl`	Tell Me Something New: A New Framework for Asynchronous Parallel Learning. CoRR Julaiti Alafate, Yoav Freund
2017	—	`conf`	The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. MICCAI (1) Yuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey J. Karten, Partha P. Mitra, David Kleinfeld, Yoav Freund
2017	J	`jnl`	The Active Atlas: Combining 3D Anatomical Models with Texture Detectors. CoRR Yuncong Chen, David Kleinfeld, Yoav Freund
2016	J	`jnl`	Muffled Semi-Supervised Learning. CoRR Akshay Balsubramani, Yoav Freund
2016	A*	`conf`	Open Problem: Second order regret bounds based on scaling time. COLT Yoav Freund
2016	—	`conf`	Optimal Binary Classifier Aggregation for General Losses. NIPS Akshay Balsubramani, Yoav Freund
2016	J	`jnl`	Typicality-Based Stability and Privacy. CoRR Raef Bassily, Yoav Freund
2015	A	`conf`	Combining Databases and Signal Processing in Plato. CIDR Yannis Katsis, Yoav Freund, Yannis Papakonstantinou
2015	J	`jnl`	Minimax Binary Classifier Aggregation with General Losses. CoRR Akshay Balsubramani, Yoav Freund
2015	A*	`conf`	Optimally Combining Classifiers Using Unlabeled Data. COLT Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	Optimally Combining Classifiers Using Unlabeled Data. CoRR Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	PAC-Bayes with Minimax for Confidence-Rated Transduction. CoRR Akshay Balsubramani, Yoav Freund
2015	—	`conf`	Scalable Semi-Supervised Aggregation of Classifiers. NIPS Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	Scalable Semi-Supervised Classifier Aggregation. CoRR Akshay Balsubramani, Yoav Freund
2015	J	`jnl`	The Fast Convergence of Incremental PCA. CoRR Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
2014	B	`conf`	A system for sending the right hint at the right time. L@S Matthew Elkherj, Yoav Freund
2014	J	`jnl`	Co-adaptation in a Handwriting Recognition System. CoRR Sunsern Cheamanunkul, Yoav Freund
2014	C	`conf`	Improved kNN Rule for Small Training Sets. ICMLA Sunsern Cheamanunkul, Yoav Freund
2014	B	`conf`	Improving FPGA accelerated tracking with multiple online trained classifiers. FPL Matthew Jacobsen, Siddarth Sampangi, Yoav Freund, Ryan Kastner
2014	J	`jnl`	Non-Convex Boosting Overcomes Random Label Noise. CoRR Sunsern Cheamanunkul, Evan Ettinger, Yoav Freund
2013	—	`conf`	The Fast Convergence of Incremental PCA. NIPS Akshay Balsubramani, Sanjoy Dasgupta, Yoav Freund
2012	J	`jnl`	An Online Learning Approach to Occlusion Boundary Detection. IEEE Trans. Image Process. Natan Jacobson, Yoav Freund, Truong Q. Nguyen
2012	J	`jnl`	An Online Learning-based Framework for Tracking CoRR Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
2012	Misc	`conf`	RIFFA: A Reusable Integration Framework for FPGA Accelerators. FCCM Matthew Jacobsen, Yoav Freund, Ryan Kastner
2011	Misc	`conf`	Occlusion boundary detection using an online learning framework. ICASSP Natan Jacobson, Yoav Freund, Truong Q. Nguyen
2010	A	`conf`	An Online Learning-based Framework for Tracking. UAI Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
2010	—	`ch.`	Application of Alternating Decision Trees in Selecting Sparse Linear Solvers. Software Automatic Tuning, From Concepts to State-of-the-Art Results Sanjukta Bhowmick, Victor Eijkhout, Yoav Freund, Erika Fuentes, David E. Keyes
2010	A*	`conf`	Data winnowing. KDD Yoav Freund
2010	J	`jnl`	Learning a board Balanced Scorecard to improve corporate performance. Decis. Support Syst. Germán Creamer, Yoav Freund
2010	J	`jnl`	Particle Filtering on the Audio Localization Manifold CoRR Evan Ettinger, Yoav Freund
2010	J	`jnl`	Towards automated high-throughput screening of C. elegans on agar CoRR 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
2010	B	`conf`	Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems. ICIP Jack Tzeng, Yoav Freund, Truong Nguyen
2009	—	`conf`	A Parameter-free Hedging Algorithm. NIPS Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
2009	J	`jnl`	A method for Hedging in continuous time CoRR Yoav Freund
2009	J	`jnl`	A parameter-free hedging algorithm CoRR Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
2009	B	`conf`	Detecting, tracking and interacting with people in a public space. ICMI Sunsern Cheamanunkul, Evan Ettinger, Matthew Jacobsen, Patrick Lai, Yoav Freund
2009	A*	`conf`	Invited talk: Drifting games, boosting and online learning. ICML Yoav Freund
2009	J	`jnl`	Random projection trees for vector quantization. IEEE Trans. Inf. Theory Sanjoy Dasgupta, Yoav Freund
2009	J	`jnl`	ResBoost: characterizing and predicting catalytic residues in enzymes. BMC Bioinform. Ron Alterovitz, Aaron Arvey, Sriram Sankararaman, Carolina Dallett, Yoav Freund, Kimmen Sjölander
2009	J	`jnl`	Tracking using explanation-based modeling CoRR Kamalika Chaudhuri, Yoav Freund, Daniel J. Hsu
2008	J	`jnl`	A new Hedging algorithm and its application to inferring latent random variables CoRR Yoav Freund, Daniel J. Hsu
2008	B	`ed.`	Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings ALT Yoav Freund, László Györfi, György Turán, Thomas Zeugmann
2008	—	`conf`	Coordinate-free calibration of an acoustically driven camera pointing system. ICDSC Evan Ettinger, Yoav Freund
2008	—	`conf`	From Microscopy Images to Models of Cellular Processes. ECML/PKDD (1) Yoav Freund
2008	A*	`conf`	Random projection trees and low dimensional manifolds. STOC Sanjoy Dasgupta, Yoav Freund
2008	—	`conf`	Random projection trees for vector quantization. Allerton Sanjoy Dasgupta, Yoav Freund
2007	—	`conf`	Learning the structure of manifolds using random projections. NIPS Yoav Freund, Sanjoy Dasgupta, Mayank Kabra, Nakul Verma
2007	—	`conf`	Segmentation of Nuclei on Confocal Image Stacks Using Performance Based Thresholding. ISBI William Beaver, David Kosman, Gary Tedeschi, Ethan Bier, William McGinnis, Yoav Freund
2006	J	`jnl`	A classification-based framework for predicting and analyzing gene regulatory response. BMC Bioinform. Anshul Kundaje, Manuel Middendorf, Mihir Shah, Chris Wiggins, Yoav Freund, Christina S. Leslie
2006	J	`jnl`	Identifying metabolic enzymes with multiple types of association evidence. BMC Bioinform. Peter V. Kharchenko, Lifeng Chen, Yoav Freund, Dennis Vitkup, George M. Church
2005	B	`conf`	Motif Discovery Through Predictive Modeling of Gene Regulation. RECOMB Manuel Middendorf, Anshul Kundaje, Mihir Shah, Yoav Freund, Chris Wiggins, Christina S. Leslie
2004	—	`conf`	Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response. Regulatory Genomics Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
2004	—	`conf`	Predicting genetic regulatory response using classification. ISMB/ECCB (Supplement of Bioinformatics) Manuel Middendorf, Anshul Kundaje, Chris Wiggins, Yoav Freund, Christina S. Leslie
2004	—	`conf`	Profile-Based String Kernels for Remote Homology Detection and Motif Extraction. CSB Rui Kuang, Eugene Ie, Ke Wang, Kai Wang, Mahira Siddiqi, Yoav Freund, Christina S. Leslie
2003	J	`jnl`	An Efficient Boosting Algorithm for Combining Preferences. J. Mach. Learn. Res. Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
2003	J	`jnl`	Predicting a binary sequence almost as well as the optimal biased coin. Inf. Comput. Yoav Freund
2003	A*	`conf`	Universal Coding of Zipf Distributions. COLT Yoav Freund, Alon Orlitsky, Prasad Santhanam, Junan Zhang
2003	A*	`conf`	Unsupervised Improvement of Visual Detectors using Co-Training. ICCV Anat Levin, Paul A. Viola, Yoav Freund
2002	J	`jnl`	Drifting Games and Brownian Motion. J. Comput. Syst. Sci. Yoav Freund, Manfred Opper
2002	J	`jnl`	The Nonstochastic Multiarmed Bandit Problem. SIAM J. Comput. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
2001	J	`jnl`	An Adaptive Version of the Boost by Majority Algorithm. Mach. Learn. Yoav Freund
2001	A	`conf`	Why averaging classifiers can protect against overfitting. AISTATS Yoav Freund, Yishay Mansour, Robert E. Schapire
2000	A*	`conf`	Continuous Drifting Games. COLT Yoav Freund, Manfred Opper
2000	J	`jnl`	Gambling in a rigged casino: The adversarial multi-armed bandit problem Electron. Colloquium Comput. Complex. Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
1999	A*	`conf`	An Adaptive Version of the Boost by Majority Algorithm. COLT Yoav Freund
1999	A*	`conf`	Estimating a Mixture of Two Product Distributions. COLT Yoav Freund, Yishay Mansour
1999	J	`jnl`	Large Margin Classification Using the Perceptron Algorithm. Mach. Learn. Yoav Freund, Robert E. Schapire
1999	A*	`conf`	The Alternating Decision Tree Learning Algorithm. ICML Yoav Freund, Llew Mason
1998	A*	`conf`	An Efficient Boosting Algorithm for Combining Preferences. ICML Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer
1998	A*	`conf`	Large Margin Classification Using the Perceptron Algorithm. COLT Yoav Freund, Robert E. Schapire
1998	A*	`conf`	Self Bounding Learning Algorithms. COLT Yoav Freund
1997	J	`jnl`	A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting. J. Comput. Syst. Sci. Yoav Freund, Robert E. Schapire
1997	A*	`conf`	Boosting the margin: A new explanation for the effectiveness of voting methods. ICML Robert E. Schapire, Yoav Freund, Peter Barlett, Wee Sun Lee
1997	J	`jnl`	Efficient Learning of Typical Finite Automata from Random Walks. Inf. Comput. Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie
1997	J	`jnl`	How to use expert advice. J. ACM Nicolò Cesa-Bianchi, Yoav Freund, David Haussler, David P. Helmbold, Robert E. Schapire, Manfred K. Warmuth
1997	—	`conf`	Learning Under Persistent Drift. EuroCOLT Yoav Freund, Yishay Mansour
1997	A*	`ed.`	Proceedings of the Tenth Annual Conference on Computational Learning Theory, COLT 1997, Nashville, Tennessee, USA, July 6-9, 1997. COLT Yoav Freund, Robert E. Schapire
1997	J	`jnl`	Selective Sampling Using the Query by Committee Algorithm. Mach. Learn. Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
1997	A*	`conf`	Using and Combining Predictors That Specialize. STOC Yoav Freund, Robert E. Schapire, Yoram Singer, Manfred K. Warmuth
1996	A*	`conf`	Experiments with a New Boosting Algorithm. ICML Yoav Freund, Robert E. Schapire
1996	A*	`conf`	Game Theory, On-Line Prediction and Boosting. COLT Yoav Freund, Robert E. Schapire
1996	J	`jnl`	On-line Prediction and Conversion Strategies. Mach. Learn. Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth
1996	A*	`conf`	Predicting a Binary Sequence Almost As Well As the Optimal Biased Coin. COLT Yoav Freund
1995	—	`conf`	A decision-theoretic generalization of on-line learning and an application to boosting. EuroCOLT Yoav Freund, Robert E. Schapire
1995	J	`jnl`	Boosting a Weak Learning Algorithm by Majority Inf. Comput. Yoav Freund
1995	A*	`conf`	Efficient Algorithms for Learning to Play Repeated Games Against Computationally Bounded Adversaries. FOCS Yoav Freund, Michael J. Kearns, Yishay Mansour, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire
1995	A*	`conf`	Gambling in a Rigged Casino: The Adversarial Multi-Arm Bandit Problem. FOCS Peter Auer, Nicolò Cesa-Bianchi, Yoav Freund, Robert E. Schapire
1995	A*	`conf`	Learning to Model Sequences Generated by Switching Distributions. COLT Yoav Freund, Dana Ron
1993	A*	`conf`	Efficient learning of typical finite automata from random walks. STOC Yoav Freund, Michael J. Kearns, Dana Ron, Ronitt Rubinfeld, Robert E. Schapire, Linda Sellie
1993	A*	`conf`	How to use expert advice. STOC Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, David Haussler, Robert E. Schapire, Manfred K. Warmuth
1993	—	`conf`	On-line prediction and conversion strategies. EuroCOLT Nicolò Cesa-Bianchi, Yoav Freund, David P. Helmbold, Manfred K. Warmuth
1992	A*	`conf`	An Improved Boosting Algorithm and Its Implications on Learning Complexity. COLT Yoav Freund
1992	—	`conf`	Information, Prediction, and Query by Committee. NIPS Yoav Freund, H. Sebastian Seung, Eli Shamir, Naftali Tishby
1991	—	`conf`	Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks. NIPS Yoav Freund, David Haussler
1990	A*	`conf`	Boosting a Weak Learning Algorithm by Majority. COLT Yoav Freund