Mehryar Mohri
According to our database^{1},
Mehryar Mohri
authored at least 174 papers
between 1994 and 2019.
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at zbmath.org

at cs.nyu.edu
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Bibliography
2019
Adaptation Based on Generalized Discrepancy.
Journal of Machine Learning Research, 2019
Relative deviation learning bounds and generalization with unbounded loss functions.
Ann. Math. Artif. Intell., 2019
Agnostic Federated Learning.
Proceedings of the 36th International Conference on Machine Learning, 2019
Active Learning with Disagreement Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019
Online Learning with Sleeping Experts and Feedback Graphs.
Proceedings of the 36th International Conference on Machine Learning, 2019
Online NonAdditive Path Learning under Full and Partial Information.
Proceedings of the Algorithmic Learning Theory, 2019
RegionBased Active Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Generalization bounds for learning weighted automata.
Theor. Comput. Sci., 2018
Algorithms and Theory for MultipleSource Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Efficient Gradient Computation for Structured Output Learning with Rational and Tropical Losses.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Policy Regret in Repeated Games.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Online Learning with Abstention.
Proceedings of the 35th International Conference on Machine Learning, 2018
Logistic Regression: The Importance of Being Improper.
Proceedings of the Conference On Learning Theory, 2018
Competing with Automatabased Expert Sequences.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
A disambiguation algorithm for weighted automata.
Theor. Comput. Sci., 2017
Generalization bounds for nonstationary mixing processes.
Machine Learning, 2017
Online Learning with Transductive Regret.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Discriminative State Space Models.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
ParameterFree Online Learning via Model Selection.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
AdaNet: Adaptive Structural Learning of Artificial Neural Networks.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Learning Algorithms for SecondPrice Auctions with Reserve.
Journal of Machine Learning Research, 2016
Adaptive Algorithms and DataDependent Guarantees for Bandit Convex Optimization.
Proceedings of the ThirtySecond Conference on Uncertainty in Artificial Intelligence, 2016
Optimistic Bandit Convex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Structured Prediction Theory Based on Factor Graph Complexity.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Boosting with Abstention.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Learning NGram Language Models from Uncertain Data.
Proceedings of the Interspeech 2016, 2016
Time series prediction and online learning.
Proceedings of the 29th Conference on Learning Theory, 2016
Structural Online Learning.
Proceedings of the Algorithmic Learning Theory  27th International Conference, 2016
Learning with Rejection.
Proceedings of the Algorithmic Learning Theory  27th International Conference, 2016
Accelerating Online Convex Optimization via Adaptive Prediction.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Random Composite Forests.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
On the Disambiguation of Weighted Automata.
Proceedings of the Implementation and Application of Automata, 2015
Nonparametric Revenue Optimization for Generalized Second Price auctions..
Proceedings of the ThirtyFirst Conference on Uncertainty in Artificial Intelligence, 2015
Generalization Bounds for Supervised Dimensionality Reduction.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Revenue Optimization against Strategic Buyers.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Learning Theory and Algorithms for Forecasting Nonstationary Time Series.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Kernel Extraction via Voted Risk Minimization.
Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015
Adaptation Algorithm and Theory Based on Generalized Discrepancy.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015
Automata and graph compression.
Proceedings of the IEEE International Symposium on Information Theory, 2015
Structural Maxent Models.
Proceedings of the 32nd International Conference on Machine Learning, 2015
OnLine Learning Algorithms for Path Experts with NonAdditive Losses.
Proceedings of The 28th Conference on Learning Theory, 2015
Learning Weighted Automata.
Proceedings of the Algebraic Informatics  6th International Conference, 2015
Learning with Deep Cascades.
Proceedings of the Algorithmic Learning Theory  26th International Conference, 2015
On the Rademacher Complexity of Weighted Automata.
Proceedings of the Algorithmic Learning Theory  26th International Conference, 2015
2014
Domain adaptation and sample bias correction theory and algorithm for regression.
Theor. Comput. Sci., 2014
Conditional Swap Regret and Conditional Correlated Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Optimal Regret Minimization in PostedPrice Auctions with Strategic Buyers.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
MultiClass Deep Boosting.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Corporate learning at scale: lessons from a large online course at google.
Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve.
Proceedings of the 31th International Conference on Machine Learning, 2014
Deep Boosting.
Proceedings of the 31th International Conference on Machine Learning, 2014
Ensemble Methods for Structured Prediction.
Proceedings of the 31th International Conference on Machine Learning, 2014
Generalization Bounds for Time Series Prediction with Nonstationary Processes.
Proceedings of the Algorithmic Learning Theory  25th International Conference, 2014
Learning Ensembles of Structured Prediction Rules.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014
2013
Largescale SVD and manifold learning.
Journal of Machine Learning Research, 2013
On the Disambiguation of Finite Automata and Functional Transducers.
Int. J. Found. Comput. Sci., 2013
Learning Kernels Using Local Rademacher Complexity.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 58, 2013
MultiClass Classification with Maximum Margin Multiple Kernel.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Sampling Methods for the Nyström Method.
Journal of Machine Learning Research, 2012
Algorithms for Learning Kernels Based on Centered Alignment.
Journal of Machine Learning Research, 2012
A Disambiguation Algorithm for Finite Automata and Functional Transducers.
Proceedings of the Implementation and Application of Automata, 2012
Accuracy at the Top.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
Spectral Learning of General Weighted Automata via Constrained Matrix Completion.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 36, 2012
New Analysis and Algorithm for Learning with Drifting Distributions.
Proceedings of the Algorithmic Learning Theory  23rd International Conference, 2012
Foundations of Machine Learning.
Adaptive computation and machine learning, MIT Press, ISBN: 9780262018258, 2012
2011
Can matrix coherence be efficiently and accurately estimated?
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011
General Algorithms for Testing the Ambiguity of Finite Automata and the DoubleTape Ambiguity of FiniteState Transducers.
Int. J. Found. Comput. Sci., 2011
A Dual Coordinate Descent Algorithm for SVMs Combined with Rational Kernels.
Int. J. Found. Comput. Sci., 2011
Combinatorial and Algorithmic Aspects of Sequence Processing (Dagstuhl Seminar 11081).
Dagstuhl Reports, 2011
Ensembles of Kernel Predictors.
Proceedings of the UAI 2011, 2011
Domain Adaptation in Regression.
Proceedings of the Algorithmic Learning Theory  22nd International Conference, 2011
2010
Efficient and Robust Music Identification With Weighted FiniteState Transducers.
IEEE Trans. Audio, Speech & Language Processing, 2010
Preferencebased learning to rank.
Machine Learning, 2010
Stability Bounds for Stationary phimixing and betamixing Processes.
Journal of Machine Learning Research, 2010
Discriminative Topic Segmentation of Text and Speech.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
On the Impact of Kernel Approximation on Learning Accuracy.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Half Transductive Ranking.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
LargeScale Training of SVMs with Automata Kernels.
Proceedings of the Implementation and Application of Automata, 2010
Learning Bounds for Importance Weighting.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 69 December 2010, 2010
Expected Sequence Similarity Maximization.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010
Generalization Bounds for Learning Kernels.
Proceedings of the 27th International Conference on Machine Learning (ICML10), 2010
TwoStage Learning Kernel Algorithms.
Proceedings of the 27th International Conference on Machine Learning (ICML10), 2010
2009
General suffix automaton construction algorithm and space bounds.
Theor. Comput. Sci., 2009
Sampling Techniques for the Nystrom Method.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
Gaussian Margin Machines.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009
NWay Composition of Weighted FiniteState Transducers.
Int. J. Found. Comput. Sci., 2009
Multiple Source Adaptation and the Rényi Divergence.
Proceedings of the UAI 2009, 2009
L2 Regularization for Learning Kernels.
Proceedings of the UAI 2009, 2009
Efficient LargeScale Distributed Training of Conditional Maximum Entropy Models.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Ensemble Nystrom Method.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Learning NonLinear Combinations of Kernels.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
Polynomial Semantic Indexing.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 710 December 2009, 2009
A new quality measure for topic segmentation of text and speech.
Proceedings of the INTERSPEECH 2009, 2009
On samplingbased approximate spectral decomposition.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Domain Adaptation: Learning Bounds and Algorithms.
Proceedings of the COLT 2009, 2009
2008
Kernel methods for learning languages.
Theor. Comput. Sci., 2008
On the Computation of the Relative Entropy of Probabilistic Automata.
Int. J. Found. Comput. Sci., 2008
3Way Composition of Weighted FiniteState Transducers.
Proceedings of the Implementation and Applications of Automata, 2008
Rademacher Complexity Bounds for NonI.I.D. Processes.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Domain Adaptation with Multiple Sources.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Stability of transductive regression algorithms.
Proceedings of the Machine Learning, 2008
Sequence kernels for predicting protein essentiality.
Proceedings of the Machine Learning, 2008
Learning with Weighted Transducers.
Proceedings of the FiniteState Methods and Natural Language Processing, 2008
General Algorithms for Testing the Ambiguity of Finite Automata.
Proceedings of the Developments in Language Theory, 12th International Conference, 2008
An Efficient Reduction of Ranking to Classification.
Proceedings of the 21st Annual Conference on Learning Theory, 2008
Sample Selection Bias Correction Theory.
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008
2007
L_{P} Distance and Equivalence of Probabilistic Automata.
Int. J. Found. Comput. Sci., 2007
Factor Automata of Automata and Applications.
Proceedings of the Implementation and Application of Automata, 2007
OpenFst: A General and Efficient Weighted FiniteState Transducer Library.
Proceedings of the Implementation and Application of Automata, 2007
An Alternative Ranking Problem for Search Engines.
Proceedings of the Experimental Algorithms, 6th International Workshop, 2007
Stability Bounds for Noni.i.d. Processes.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Robust Music Identification, Detection, and Analysis.
Proceedings of the 8th International Conference on Music Information Retrieval, 2007
Magnitudepreserving ranking algorithms.
Proceedings of the Machine Learning, 2007
Learning Languages with Rational Kernels.
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
On the Computation of Some Standard Distances Between Probabilistic Automata.
Proceedings of the Implementation and Application of Automata, 2006
On Transductive Regression.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Probabilistic ContextFree Grammar Induction Based on Structural Zeros.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006
A Unified Construction of the Glushkov, Follow, and Antimirov Automata.
Proceedings of the Mathematical Foundations of Computer Science 2006, 2006
Efficient Computation of the Relative Entropy of Probabilistic Automata.
Proceedings of the LATIN 2006: Theoretical Informatics, 2006
Learning Linearly Separable Languages.
Proceedings of the Algorithmic Learning Theory, 17th International Conference, 2006
2005
Moment Kernels for Regular Distributions.
Machine Learning, 2005
The design principles and algorithms of a weighted grammar library.
Int. J. Found. Comput. Sci., 2005
A general regression technique for learning transductions.
Proceedings of the Machine Learning, 2005
A Comparison of Classifiers for Detecting Emotion from Speech.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Multiarmed Bandit Algorithms and Empirical Evaluation.
Proceedings of the Machine Learning: ECML 2005, 2005
MarginBased Ranking Meets Boosting in the Middle.
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2004
An optimal predeterminization algorithm for weighted transducers.
Theor. Comput. Sci., 2004
Rational Kernels: Theory and Algorithms.
Journal of Machine Learning Research, 2004
A General Weighted Grammar Library.
Proceedings of the Implementation and Application of Automata, 2004
Confidence Intervals for the Area Under the ROC Curve.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Distribution kernels based on moments of counts.
Proceedings of the Machine Learning, 2004
A generalized construction of integrated speech recognition transducers.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004
Statistical Modeling for Unit Selection in Speech Synthesis.
Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004
2003
Efficient Algorithms for Testing the Twins Property.
Journal of Automata, Languages and Combinatorics, 2003
EditDistance Of Weighted Automata: General Definitions And Algorithms.
Int. J. Found. Comput. Sci., 2003
Finitely Subsequential Transducers.
Int. J. Found. Comput. Sci., 2003
An Efficient Predeterminization Algorithm.
Proceedings of the Implementation and Application of Automata, 2003
AUC Optimization vs. Error Rate Minimization.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Weighted automata kernels  general framework and algorithms.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Lattice kernels for spokendialog classification.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Generalized optimization algorithm for speech recognition transducers.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003
Learning from Uncertain Data.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Positive Definite Rational Kernels.
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
Generalized Algorithms for Constructing Statistical Language Models.
Proceedings of the 41st Annual Meeting of the Association for Computational Linguistics, 2003
2002
Semiring Frameworks and Algorithms for ShortestDistance Problems.
Journal of Automata, Languages and Combinatorics, 2002
Generic eRemoval and Input eNormalization Algorithms for Weighted Transducers.
Int. J. Found. Comput. Sci., 2002
Weighted finitestate transducers in speech recognition.
Computer Speech & Language, 2002
EditDistance of Weighted Automata.
Proceedings of the Implementation and Application of Automata, 2002
pSubsequentiable Transducers.
Proceedings of the Implementation and Application of Automata, 2002
Rational Kernels.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
An efficient algorithm for the nbeststrings problem.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
A comparison of two LVR search optimization techniques.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002
2001
A weight pushing algorithm for large vocabulary speech recognition.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001
2000
The Design Principles of a Weighted FiniteState Transducer Library.
Theor. Comput. Sci., 2000
Minimization algorithms for sequential transducers.
Theor. Comput. Sci., 2000
ContextFree Recognition with Weighted Automata.
Grammars, 2000
Generic epsilon Removal Algorithm for Weighted Automata.
Proceedings of the Implementation and Application of Automata, 2000
1999
Network optimizations for largevocabulary speech recognition.
Speech Communication, 1999
Integrated contextdependent networks in very large vocabulary speech recognition.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999
Rapid unit selection from a large speech corpus for concatenative speech synthesis.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999
1998
VPQ: a spoken language interface to large scale directory information.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998
Full expansion of contextdependent networks in large vocabulary speech recognition.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998
Dynamic Compilation of Weighted ContextFree Grammars.
Proceedings of the 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, 1998
1997
StringMatching with Automata.
Nord. J. Comput., 1997
FiniteState Transducers in Language and Speech Processing.
Computational Linguistics, 1997
A Rational Design for a Weighted FiniteState Transducer Library.
Proceedings of the Automata Implementation, 1997
Transducer composition for contextdependent network expansion.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997
Weighted determinization and minimization for large vocabulary speech recognition.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997
1996
On some applications of finitestate automata theory to natural language processing.
Natural Language Engineering, 1996
An Efficient Compiler for Weighted Rewrite Rules.
Proceedings of the 34th Annual Meeting of the Association for Computational Linguistics, 1996
1995
Computation of French Temporal Expressions to Query Databases.
NLDB, 1995
Matching Patterns of An Automaton.
CPM, 1995
1994
Minimization of Sequential Transducers.
Proceedings of the Combinatorial Pattern Matching, 5th Annual Symposium, 1994
Compact Representations by FiniteState Transducers.
Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, 1994