Yoram Singer
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Yoram Singercomputer-science Degrees
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Theoretical Computer Science
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Computer Science
Why Is Yoram Singer Influential?
(Suggest an Edit or Addition)Yoram Singer'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
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization (2011) (9035)
- Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network (2003) (3572)
- Improved Boosting Algorithms Using Confidence-rated Predictions (1998) (3501)
- BoosTexter: A Boosting-based System for Text Categorization (2000) (2355)
- On the Algorithmic Implementation of Multiclass Kernel-based Vector Machines (2002) (2281)
- Pegasos: primal estimated sub-gradient solver for SVM (2007) (2275)
- An Efficient Boosting Algorithm for Combining Preferences (1998) (2271)
- Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers (2000) (2080)
- Online Passive-Aggressive Algorithms (2003) (1897)
- Efficient projections onto the l1-ball for learning in high dimensions (2008) (1340)
- Unsupervised Models for Named Entity Classification (1999) (1044)
- Learning to Order Things (1997) (1002)
- The Hierarchical Hidden Markov Model: Analysis and Applications (1998) (990)
- Train faster, generalize better: Stability of stochastic gradient descent (2015) (941)
- Zero-Shot Learning by Convex Combination of Semantic Embeddings (2013) (855)
- On the Learnability and Design of Output Codes for Multiclass Problems (2002) (775)
- Ultraconservative Online Algorithms for Multiclass Problems (2001) (763)
- Logistic Regression, AdaBoost and Bregman Distances (2000) (702)
- Pranking with Ranking (2001) (682)
- Efficient Online and Batch Learning Using Forward Backward Splitting (2009) (619)
- Context-sensitive learning methods for text categorization (1996) (574)
- The power of amnesia: Learning probabilistic automata with variable memory length (1996) (501)
- Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification (2007) (400)
- A simple, fast, and effective rule learner (1999) (400)
- A Stochastic Quasi-Newton Method for Large-Scale Optimization (2014) (396)
- Boosting and Rocchio applied to text filtering (1998) (388)
- On‐Line Portfolio Selection Using Multiplicative Updates (1998) (364)
- Online and batch learning of pseudo-metrics (2004) (349)
- Composite Objective Mirror Descent (2010) (323)
- Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity (2016) (290)
- Using and combining predictors that specialize (1997) (275)
- Image Retrieval and Classification Using Local Distance Functions (2006) (236)
- Large margin hierarchical classification (2004) (233)
- Group Sparse Coding (2009) (222)
- Log-Linear Models for Label Ranking (2003) (212)
- A Family of Additive Online Algorithms for Category Ranking (2003) (199)
- A primal-dual perspective of online learning algorithms (2007) (190)
- The Forgetron: A Kernel-Based Perceptron on a Budget (2008) (190)
- Context-sensitive learning methods for text categorization (1999) (187)
- Local Low-Rank Matrix Approximation (2013) (183)
- On the learnability and usage of acyclic probabilistic finite automata (1995) (182)
- Online Classification on a Budget (2003) (163)
- Boosting Applied to Tagging and PP Attachment (1999) (154)
- Kernel Design Using Boosting (2002) (142)
- Local collaborative ranking (2014) (135)
- In Advances in Neural Information Processing Systems 14 (2002) (132)
- The Power of Amnesia (1993) (132)
- Update Rules for Parameter Estimation in Bayesian Networks (1997) (125)
- Are All Layers Created Equal? (2019) (123)
- Learning probabilistic automata with variable memory length (1994) (119)
- The Forgetron: A Kernel-Based Perceptron on a Fixed Budget (2005) (119)
- Efficient Learning using Forward-Backward Splitting (2009) (118)
- A new family of online algorithms for category ranking (2002) (107)
- Shampoo: Preconditioned Stochastic Tensor Optimization (2018) (100)
- Convex Repeated Games and Fenchel Duality (2006) (100)
- Efficient Learning of Label Ranking by Soft Projections onto Polyhedra (2006) (99)
- Leveraging the margin more carefully (2004) (92)
- LLORMA: Local Low-Rank Matrix Approximation (2016) (90)
- On the equivalence of weak learnability and linear separability: new relaxations and efficient boosting algorithms (2010) (81)
- A Comparison of New and Old Algorithms for a Mixture Estimation Problem (1995) (81)
- Logarithmic Regret Algorithms for Strongly Convex Repeated Games (2007) (80)
- Part-of-Speech Tagging Using a Variable Memory Markov Model (1994) (76)
- Efficient Bayesian Parameter Estimation in Large Discrete Domains (1998) (75)
- Online Multitask Learning (2006) (73)
- Dynamical encoding of cursive handwriting (1993) (73)
- Online Learning of Multiple Tasks with a Shared Loss (2007) (72)
- Boosting with structural sparsity (2009) (72)
- Boosting for document routing (2000) (70)
- Switching Portfolios (1998) (69)
- Online multiclass learning by interclass hypothesis sharing (2006) (66)
- An Online Algorithm for Hierarchical Phoneme Classification (2004) (58)
- Online Learning Meets Optimization in the Dual (2006) (58)
- Identity Crisis: Memorization and Generalization under Extreme Overparameterization (2019) (57)
- Training Algorithms for Hidden Markov Models using Entropy Based Distance Functions (1996) (51)
- Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy (1998) (48)
- Online Ranking by Projecting (2005) (47)
- Support Vector Machines on a Budget (2006) (46)
- Learning to Query the Web (1996) (46)
- Robust temporal and spectral modeling for query By melody (2002) (43)
- The Power of Amnesia: Learning Probabilistic Automata with Variable Memory Length (2005) (43)
- Multiclass Learning by Probabilistic Embeddings (2002) (42)
- A New Perspective on an Old Perceptron Algorithm (2005) (41)
- A Large Margin Algorithm for Speech-to-Phoneme and Music-to-Score Alignment (2007) (41)
- Spikernels: Predicting Arm Movements by Embedding Population Spike Rate Patterns in Inner-Product Spaces (2005) (41)
- Memory Efficient Adaptive Optimization (2019) (39)
- Protein Family Classification Using Sparse Markov Transducers (2000) (38)
- Phoneme alignment based on discriminative learning (2005) (38)
- An Efficient Extension to Mixture Techniques for Prediction and Decision Trees (1997) (37)
- Data-Driven Online to Batch Conversions (2005) (37)
- Beyond Word N-Grams (1996) (34)
- Parallel Boosting with Momentum (2013) (34)
- Protein Family Classification Using Sparse Markov Transducers (2000) (33)
- Improved Output Coding for Classification Using Continuous Relaxation (2000) (31)
- Exponentiated Gradient Meets Gradient Descent (2019) (31)
- Smooth e-Intensive Regression by Loss Symmetrization (2005) (29)
- Learning to Align Polyphonic Music (2004) (29)
- Second Order Optimization Made Practical (2020) (28)
- Adaptive Mixtures of Probabilistic Transducers (1995) (27)
- State-based Classification of Finger Gestures from Electromyographic Signals (2000) (27)
- Discriminative kernel-based phoneme sequence recognition (2006) (26)
- Smooth ε-insensitive regression by loss symmetrization (2003) (22)
- The Power of Selective Memory: Self-Bounded Learning of Prediction Suffix Trees (2004) (20)
- Spikernels: Embedding Spiking Neurons in Inner-Product Spaces (2002) (19)
- BoosTexter: A System for Multiclass Multi-label Text Categorization (1998) (19)
- Using Web Co-occurrence Statistics for Improving Image Categorization (2013) (18)
- A Boosting Algorithm for Label Covering in Multilabel Problems (2007) (18)
- Loss Bounds for Online Category Ranking (2005) (17)
- A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization (2017) (16)
- Random Features for Compositional Kernels (2017) (16)
- Efficient projections onto the {\it l}$_{\mbox{1}}$-ball for learning in high dimensions (2008) (16)
- Leveraged Vector Machines (1999) (16)
- Memory-Efficient Adaptive Optimization for Large-Scale Learning (2019) (15)
- A Unified Algorithmic Approach for Efficient Online Label Ranking (2007) (14)
- A Markov model for the acquisition of morphological structure (2003) (13)
- Discriminative Binaural Sound Localization (2002) (13)
- Individual Sequence Prediction Using Memory-Efficient Context Trees (2009) (12)
- Smooth epsiloon-Insensitive Regression by Loss Symmetrization (2005) (12)
- A Simple, Fast, and Effictive Rule Learner (1999) (10)
- A New Parameter Estimation Method for Gaussian Mixtures (1998) (9)
- Sketching and Neural Networks (2016) (9)
- Matrix Approximation under Local Low-Rank Assumption (2013) (9)
- Learning Algorithm for Enclosing Points in Bregmanian Spheres (2003) (8)
- Using mixtures of common ancestors for estimating the probabilities of discrete events in biological sequences (2001) (8)
- Learning a neural response metric for retinal prosthesis (2017) (8)
- A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities (2004) (7)
- Convolutional Bipartite Attractor Networks (2019) (7)
- The Well Tempered Lasso (2018) (7)
- Shared Context Probabilistic Transducers (1997) (5)
- Adaptive Mixture of Probabilistic Transducers (1995) (5)
- Online Classification for Complex Problems Using Simultaneous Projections (2006) (5)
- Online Learning of Complex Prediction Problems Using Simultaneous Projections (2008) (4)
- Individual variability of neural computations in the primate retina (2021) (4)
- Short and Deep: Sketching and Neural Networks (2017) (3)
- Response model (2015) (3)
- Inferring probabilistic acyclic automata using the minimum description length principle (1994) (3)
- Decoding Cursive Scripts (1993) (3)
- Proximal and First-Order Methods for Convex Optimization (2013) (3)
- An Efficient PAC Algorithm for Reconstructing a Mixture of Lines (2002) (2)
- Entire Relaxation Path for Maximum Entropy Problems (2011) (2)
- Efficient Learning of Sparse Ranking Functions (2013) (2)
- Learning Theory: 17th Annual Conference on Learning Theory, COLT 2004, Banff, Canada, July 1-4, 2004, Proceedings (2004) (2)
- Phoneme Alignment using Large Margin Techniques (2005) (2)
- A Large Margin Algorithm for Forced Alignment (2009) (1)
- Using Substitution Matrices to Estimate Probability Distributions for Biological Sequences (2002) (1)
- Shining Bright: The Golden Era of Signal Processing (2011) (1)
- Composite Objective Optimization and Learning for Massive Datasets (2010) (1)
- Full Matrix Preconditioning Made Practical (2019) (1)
- Towards learning a metric for neural prosthetics (2018) (0)
- Special Issue on Data Mining in Finance C World Scientific Publishing Company Switching Portfolios (2010) (0)
- Proximity Preserving Binary Code using Signed Graph-Cut (2020) (0)
- "What has been will be again": a machine learning approach to the analysis of natural language (1995) (0)
- Error Correcting Output Codes (2010) (0)
- Learning Theory, Proceedings of 17th Annual Conference on Learning Theory, COLT 2004 (2004) (0)
- Learning class probabilities from labeled data (1992) (0)
- Multiclass Categorization by Probabilistic Embeddings (2003) (0)
- Learning Preferences Graphs by Soft Projections onto Polyhedra (2005) (0)
- The KARMA of Hand Tracking (2007) (0)
- A Coordinate Descent Algorithm for Learning Compact Ranking Functions (2010) (0)
- SIGIR ’ 98 Boosting and Rocchio Applied to Text Filtering (2015) (0)
- Using mixtures of ommon an estors for estimating theprobabilities of dis rete events in biologi al sequen es (2002) (0)
- A Markovian Lattice Model for the Acquisition of Morphological Structure (2003) (0)
- The Maximum Entropy Relaxation Path (2013) (0)
- Guest Editor's Introduction (2004) (0)
- L G ] 2 M ar 2 01 8 Shampoo : Preconditioned Stochastic Tensor Optimization (2018) (0)
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