Yoav Freund
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Yoav Freundcomputer-science Degrees
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Data Mining
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Machine Learning
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Computer Science
Yoav Freund's Degrees
- PhD Computer Science Stanford University
- Masters Computer Science Weizmann Institute of Science
- Bachelors Computer Science Technion – Israel Institute of Technology
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Why Is Yoav Freund Influential?
(Suggest an Edit or Addition)Yoav Freund's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- A decision-theoretic generalization of on-line learning and an application to boosting (1997) (19082)
- Experiments with a New Boosting Algorithm (1996) (9118)
- A Short Introduction to Boosting (1999) (3321)
- Boosting the margin: A new explanation for the effectiveness of voting methods (1997) (2946)
- An Efficient Boosting Algorithm for Combining Preferences (1998) (2271)
- The Nonstochastic Multiarmed Bandit Problem (2002) (2154)
- Boosting a weak learning algorithm by majority (1990) (1972)
- Large Margin Classification Using the Perceptron Algorithm (1998) (1463)
- Selective Sampling Using the Query by Committee Algorithm (1997) (1184)
- Discussion of the Paper \additive Logistic Regression: a Statistical View of Boosting" By (2000) (950)
- The Alternating Decision Tree Learning Algorithm (1999) (877)
- Gambling in a rigged casino: The adversarial multi-armed bandit problem (1995) (871)
- How to use expert advice (1993) (660)
- Adaptive game playing using multiplicative weights (1999) (593)
- Lamellipodial Actin Mechanically Links Myosin Activity with Adhesion-Site Formation (2007) (506)
- Game theory, on-line prediction and boosting (1996) (418)
- Random projection trees and low dimensional manifolds (2008) (407)
- An Adaptive Version of the Boost by Majority Algorithm (1999) (405)
- Unsupervised Learning of Distributions of Binary Vectors Using 2-Layer Networks (1991) (360)
- Boosting: Foundations and Algorithms (2012) (325)
- Using and combining predictors that specialize (1997) (275)
- Unsupervised improvement of visual detectors using cotraining (2003) (269)
- Profile-based string kernels for remote homology detection and motif extraction (2005) (248)
- How to use expert advice (1997) (215)
- The non-stochastic multi-armed bandit problem (2001) (201)
- Random Projection Trees for Vector Quantization (2008) (139)
- The Fast Convergence of Incremental PCA (2013) (136)
- A Parameter-free Hedging Algorithm (2009) (133)
- Learning the structure of manifolds using random projections (2007) (126)
- Visualization of Individual Scr mRNAs during Drosophila Embryogenesis Yields Evidence for Transcriptional Bursting (2009) (118)
- Information, Prediction, and Query by Committee (1992) (117)
- Identifying metabolic enzymes with multiple types of association evidence (2006) (115)
- A more robust boosting algorithm (2009) (103)
- Efficient learning of typical finite automata from random walks (1993) (95)
- Predicting genetic regulatory response using classification (2004) (94)
- Predicting a binary sequence almost as well as the optimal biased coin (2003) (86)
- Generalization bounds for averaged classifiers (2004) (84)
- An improved boosting algorithm and its implications on learning complexity (1992) (74)
- Estimating a mixture of two product distributions (1999) (72)
- Automated trading with boosting and expert weighting (2010) (70)
- RIFFA: A Reusable Integration Framework for FPGA Accelerators (2012) (69)
- Automatic identification of fluorescently labeled brain cells for rapid functional imaging. (2010) (67)
- Learning a Board Balanced Scorecard to Improve Corporate Performance (2010) (61)
- Self bounding learning algorithms (1998) (55)
- Boosting a Weak Learning Algorithm by Majority to Be Published in Information and Computation (1995) (50)
- Why averaging classifiers can protect against overfitting (2001) (48)
- On-line Prediction and Conversion Strategies (1994) (45)
- Efficient algorithms for learning to play repeated games against computationally bounded adversaries (1995) (43)
- Learning Under Persistent Drift (1997) (38)
- Optimally Combining Classifiers Using Unlabeled Data (2015) (37)
- Discussion of the paper "Arcing Classifiers" by Leo Breiman (1998) (34)
- Image-based crystal detection: a machine-learning approach (2008) (34)
- Active learning for visual object detection (2005) (33)
- Predicting Performance and Quantifying Corporate Governance Risk for Latin American Adrs and Banks (2004) (30)
- Motif Discovery Through Predictive Modeling of Gene Regulation (2005) (29)
- Active learning for visual object recognition (2005) (28)
- An adaptive nearest neighbor rule for classification (2019) (26)
- Minimizing off-target signals in RNA fluorescent in situ hybridization (2010) (24)
- Data filtering and distribution modeling algorithms for machine learning (1993) (23)
- A classification-based framework for predicting and analyzing gene regulatory response (2006) (21)
- A Boosting Approach for Automated Trading (2007) (20)
- ResBoost: characterizing and predicting catalytic residues in enzymes (2009) (20)
- An active texture-based digital atlas enables automated mapping of structures and markers across brains (2019) (19)
- An Online Learning Approach to Occlusion Boundary Detection (2012) (19)
- Using Boosting for Financial Analysis and Performance Prediction: Application to S&P 500 Companies, Latin American ADRs and Banks (2010) (18)
- Learning to model sequences generated by switching distributions (1995) (18)
- Combining Databases and Signal Processing in Plato (2015) (17)
- Profile-based string kernels for remote homology detection and motif extraction. (2004) (16)
- Scalable Semi-Supervised Aggregation of Classifiers (2015) (16)
- Application of Alternating Decision Trees in Selecting Sparse Linear Solvers (2010) (15)
- Boosting (2012) (15)
- Drifting Games and Brownian Motion (2002) (13)
- Typicality-Based Stability and Privacy (2016) (12)
- Application of Machine Learning in Selecting Sparse Linear Solvers ⋆ (2006) (11)
- Coordinate-free calibration of an acoustically driven camera pointing system (2008) (11)
- SEGMENTATION OF NUCLEI IN CONFOCAL IMAGE STACKS USING PERFORMANCE BASED THRESHOLDING (2007) (10)
- Detecting, tracking and interacting with people in a public space (2009) (10)
- Optimal universal learning and prediction of probabilistic concepts (1995) (9)
- Using Adaboost for Equity Investment Scorecards (2005) (8)
- A new Hedging algorithm and its application to inferring latent random variables (2008) (8)
- Optimal Binary Classifier Aggregation for General Losses (2015) (8)
- An Online Learning-based Framework for Tracking (2010) (7)
- Scalable Semi-Supervised Classifier Aggregation (2015) (7)
- Discussions of boosting papers, and rejoinders (2004) (7)
- 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 (2004) (7)
- When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint (2021) (6)
- Faster Boosting with Smaller Memory (2019) (6)
- Non-Convex Boosting Overcomes Random Label Noise (2014) (5)
- A method for Hedging in continuous time (2009) (5)
- Typical Stability (2016) (5)
- Structure from Voltage (2022) (5)
- Improved kNN Rule for Small Training Sets (2014) (4)
- On-line prediction and conversion strategies (2004) (4)
- Towards automated high-throughput screening of C. elegans on agar (2010) (4)
- Response to Mease and Wyner, Evidence Contrary to the Statistical View of Boosting, JMLR 9:131-156, 2008 (2008) (4)
- A system for sending the right hint at the right time (2014) (4)
- Continuous Drifting Games (2000) (4)
- Tracking using explanation-based modeling (2009) (4)
- Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks (2021) (4)
- Selectively sensitive identification of connectivity matrices in linear elastic systems (1996) (3)
- Predicting Genetic Regulatory Response Using Classification: Yeast Stress Response (2004) (3)
- Improving FPGA accelerated tracking with multiple online trained classifiers (2014) (3)
- An introduction to boosting based classification (3)
- Foundations of Machine Learning (2012) (3)
- Using AdaBoost to Minimize Training Error (2012) (2)
- Open Problem: Second order regret bounds based on scaling time (2016) (2)
- Minimax Binary Classifier Aggregation with General Losses (2015) (2)
- Tell Me Something New: A New Framework for Asynchronous Parallel Learning (2018) (2)
- ALT 2008. 19th international conference on algorithmic learning theory. Budapest, 2008. (Lecture notes in artificial intelligence 5254.) (2008) (1)
- Loss Minimization and Generalizations of Boosting (2012) (1)
- Using Adaboost on contourlet based image deblurring for Fluid Lens Camera Systems (2010) (1)
- Eecient Learning of Typical Finite Automata from Random Walks Extended Abstract (1996) (1)
- Aggregating Binary Classifiers Optimally with General Losses (2015) (1)
- Audio scene monitoring using redundant un-localized microphone arrays (2021) (1)
- Game Theory, Online Learning, and Boosting (2012) (1)
- SreaMRAK a Streaming Multi-Resolution Adaptive Kernel Algorithm (2021) (1)
- Using Confidence-Rated Weak Predictions (2012) (1)
- Pinpoint : Identifying Packet Loss Culprits Using Adaptive Sampling (2007) (1)
- Invited talk: Drifting games, boosting and online learning (2009) (1)
- The Active Atlas: Combining 3D Anatomical Models with Texture Detectors (2017) (1)
- Universal Coding of Zipf Distributions (2003) (1)
- Occlusion boundary detection using an online learning framework (2011) (1)
- Multiclass Classification Problems (2012) (1)
- An active texture-based digital atlas enables automated mapping of structures and markers across brains (2019) (0)
- A ShortIntroductionto Boosting Yoav Freund RobertE . Schapire AT & T Labs (2000) (0)
- The Pattern recognition framework and Hoeffding ' s bounds (2004) (0)
- Automated Scoring of Crystallization Trials (2007) (0)
- An Optimal potential-based hedging algorithm (2021) (0)
- United States Patent Srinivasa (2017) (0)
- The Margins Explanation for Boosting's Effectiveness (2012) (0)
- Strategies for convex potential games and an application to decision-theoretic online learning (2021) (0)
- Selective Scanning for faster Prostate Pathology (2007) (0)
- Particle Filtering on the Audio Localization Manifold (2010) (0)
- Supplementary Data for “ Image-Based Detection of Crystals : A Machine Learning Approach ” (2008) (0)
- Boosting in Continuous Time (2012) (0)
- Learning to Rank (2018) (0)
- the Liar Game. References (0)
- COLLECTIONS OF CLASSIFIERS TUNED FOR CELL FINDING WITH AN APPLICATION TO BUILDING DIGITAL CELL ATLASES OF DROSOPHILA EMBRYOS (2007) (0)
- Optimally Efficient Boosting (2012) (0)
- Active learning using region-based sampling (2023) (0)
- Boosting, Convex Optimization, and Information Geometry (2012) (0)
- Optimal Strategies for Decision Theoretic Online Learning (2021) (0)
- Non-Adaptive Algorithms For The Write-All Problem (2010) (0)
- DATA FILTERING AND DISTRIBUTION MODELING ALGORITHMS FOR MACHING LEARNING (Ph.D. Thesis) (1993) (0)
- New Environments Set the Stage for Changing Tastes in Mates (2005) (0)
- PAC-Bayes with Minimax for Confidence-Rated Transduction (2015) (0)
- Muffled Semi-Supervised Learning (2016) (0)
- LEARNING THE TIME-DELAY MANIFOLD FOR ROBUST SPEAKER LOCALIZATION (2007) (0)
- Open Problem: Second order regret bounds parametrized by variance across actions and top percentile. (2016) (0)
- Book Reviews (2013) (0)
- Optimal potentials for hedging algorithms (2022) (0)
- Appendix: Some Notation, Definitions, and Mathematical Background (2012) (0)
- Attaining the Best Possible Accuracy (2012) (0)
- Arithmetic Coding, Cumulative Log Loss, Exponential Weights Algorithms and Pruning Prediction Trees (0)
- Subject and Author Index (2017) (0)
- Experimental Design for Bathymetry Editing (2020) (0)
- Index of Algorithms, Figures, and Tables (2012) (0)
- Direct Bounds on the Generalization Error (2012) (0)
- 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 (2007) (0)
- 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 (2007) (0)
- Data winnowing (2010) (0)
- Algorithmic Learning Theory, 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008. Proceedings (2008) (0)
- Co-adaptation in a Handwriting Recognition System (2014) (0)
- Second order bounds for online prediction (2021) (0)
- Camera Pointing with Coordinate-Free Localization and Tracking (2011) (0)
- Feasibility of Voice over IP on the Internet (2006) (0)
- Robust Landmark Detection for Alignment of Mouse Brain Section Images (2018) (0)
- Optimal Online Learning using Potential Functions (2021) (0)
- From Microscopy Images to Models of Cellular Processes (2008) (0)
- Proceedings of the Tenth Annual Conference on Computational Learning Theory, COLT 1997, Nashville, Tennessee, USA, July 6-9, 1997 (1997) (0)
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Yoav Freund is affiliated with the following schools:
