Mehryar Mohri

2020

Discrepancy-Based Theory and Algorithms for Forecasting Non-Stationary Time Series

Kuznetsov, V. & Mohri, M., Apr 1 2020, In : Annals of Mathematics and Artificial Intelligence. 88, 4, p. 367-399 33 p.

Research output: Contribution to journal › Article

Region-based active learning

Cortes, C., DeSalvo, G., Gentile, C., Mohri, M. & Zhang, N., Jan 1 2020.

Research output: Contribution to conference › Paper

2019

Active learning with disagreement graphs

Cortes, C., DeSalvo, G., Gentile, C., Mohri, M. & Zhang, N., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 2468-2483 16 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Adaptation based on generalized discrepancy

Cortes, C., Mohri, M. & Medina, A. M., Jan 1 2019, In : Journal of Machine Learning Research. 20, p. 1-30 30 p.

Research output: Contribution to journal › Article

Agnostic federated learning

Mohri, M., Sivek, G. & Suresh, A. T., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 8114-8124 11 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Relative deviation learning bounds and generalization with unbounded loss functions

Cortes, C., Greenberg, S. & Mohri, M., Jan 1 2019, In : Annals of Mathematics and Artificial Intelligence. 85, 1, p. 45-70 26 p.

Research output: Contribution to journal › Article

2018

Algorithms and theory for multiple-source adaptation

Hoffman, J., Mohri, M. & Zhang, N., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 8246-8256 11 p.

Research output: Contribution to journal › Conference article

Efficient gradient computation for structured output learning with rational and tropical losses

Cortes, C., Kuznetsov, V., Mohri, M., Storcheus, D. & Yang, S., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6810-6821 12 p.

Research output: Contribution to journal › Conference article

Generalization bounds for learning weighted automata

Balle, B. & Mohri, M., Mar 15 2018, In : Theoretical Computer Science. 716, p. 89-106 18 p.

Research output: Contribution to journal › Article

Online Learning with Abstention

Cortes, C., Desalvo, G., Gentile, C., Mohri, M. & Yang, S., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), p. 1726-1734 9 p. (35th International Conference on Machine Learning, ICML 2018; vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Policy regret in repeated games

Arora, R., Dinitz, M., Marinov, T. V. & Mohri, M., Jan 1 2018, In : Advances in Neural Information Processing Systems. 2018-December, p. 6732-6741 10 p.

Research output: Contribution to journal › Conference article

2017

AdaNet: Adaptive structural learning of artificial neural networks

Cortes, C., Gonzalvo, X., Kuznetsov, V., Mohri, M. & Yang, S., Jan 1 2017, 34th International Conference on Machine Learning, ICML 2017. International Machine Learning Society (IMLS), p. 1452-1466 15 p. (34th International Conference on Machine Learning, ICML 2017; vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

A disambiguation algorithm for weighted automata

Mohri, M. & Riley, M. D., May 30 2017, In : Theoretical Computer Science. 679, p. 53-68 16 p.

Research output: Contribution to journal › Article

Discriminative state-space models

Kuznetsov, V. & Mohri, M., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5672-5680 9 p.

Research output: Contribution to journal › Conference article

Generalization bounds for non-stationary mixing processes

Kuznetsov, V. & Mohri, M., Jan 1 2017, In : Machine Learning. 106, 1, p. 93-117 25 p.

Research output: Contribution to journal › Article

Online learning with transductive regret

Mohri, M. & Yang, S., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 5215-5225 11 p.

Research output: Contribution to journal › Conference article

Parameter-free online learning via model selection

Foster, D. J., Kale, S., Mohri, M. & Sridharan, K., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. 6021-6031 11 p.

Research output: Contribution to journal › Conference article

2016

Accelerating online convex optimization via adaptive prediction

Mohri, M. & Yang, S., Jan 1 2016, p. 848-856. 9 p.

Research output: Contribution to conference › Paper

Adaptive algorithms and data-dependent guarantees for bandit convex optimization

Mohri, M. & Yang, S., Jan 1 2016, 32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016. Janzing, D. & Ihler, A. (eds.). Association For Uncertainty in Artificial Intelligence (AUAI), p. 815-824 10 p. (32nd Conference on Uncertainty in Artificial Intelligence 2016, UAI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Boosting with abstention

Cortes, C., De Salvo, G. & Mohri, M., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 1668-1676 9 p.

Research output: Contribution to journal › Conference article

Learning algorithms for second-price auctions with reserve

Mohri, M. & Muñoz Medina, A., Apr 1 2016, In : Journal of Machine Learning Research. 17

Research output: Contribution to journal › Article

Learning N-gram language models from uncertain data

Kuznetsov, V., Liao, H., Mohri, M., Riley, M. & Roark, B., Jan 1 2016, In : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 08-12-September-2016, p. 2323-2327 5 p.

Research output: Contribution to journal › Conference article

Learning with rejection

Cortes, C., DeSalvo, G. & Mohri, M., Jan 1 2016, Algorithmic Learning Theory - 27th International Conference, ALT 2016, Proceedings. Simon, H. U., Zilles, S. & Ortner, R. (eds.). Springer Verlag, p. 67-82 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9925 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Optimistic bandit convex optimization

Mohri, M. & Yang, S., Jan 1 2016, In : Advances in Neural Information Processing Systems. p. 2297-2305 9 p.

Research output: Contribution to journal › Conference article

Random composite forests

DeSalvo, G. & Mohri, M., Jan 1 2016, 30th AAAI Conference on Artificial Intelligence, AAAI 2016. AAAI press, p. 1540-1546 7 p. (30th AAAI Conference on Artificial Intelligence, AAAI 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Structural online learning

Mohri, M. & Yang, S., Jan 1 2016, Algorithmic Learning Theory - 27th International Conference, ALT 2016, Proceedings. Simon, H. U., Zilles, S. & Ortner, R. (eds.). Springer Verlag, p. 223-237 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9925 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Time series prediction and online learning

Kuznetsov, V. & Mohri, M., Jun 6 2016, In : Journal of Machine Learning Research. 49, June, p. 1190-1213 24 p.

Research output: Contribution to journal › Conference article

2015

Adaptation algorithm and theory based on generalized discrepancy

Cortes, C., Mohri, M. & Medina, A. M., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 169-178 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Automata and graph compression

Mohri, M., Riley, M. & Suresh, A. T., Sep 28 2015, Proceedings - 2015 IEEE International Symposium on Information Theory, ISIT 2015. Institute of Electrical and Electronics Engineers Inc., p. 2989-2993 5 p. 7283005. (IEEE International Symposium on Information Theory - Proceedings; vol. 2015-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Learning theory and algorithms for forecasting non-stationary time series

Kuznetsov, V. & Mohri, M., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 541-549 9 p.

Research output: Contribution to journal › Conference article

Learning weighted automata

Balle, B. & Mohri, M., Jan 1 2015, Algebraic Informatics 6th International Conference, CAI 2015, Proceedings. Maletti, A. (ed.). Springer Verlag, p. 1-21 21 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9270).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Learning with deep cascades

DeSalvo, G., Mohri, M. & Syed, U., Jan 1 2015, Algorithmic Learning Theory - 26th International Conference, ALT 2015. Gentile, C., Zilles, S. & Chaudhuri, K. (eds.). Springer Verlag, p. 254-269 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9355).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Non-parametric revenue optimization for generalized second price auctions

Mohri, M. & Medina, A. M., Jan 1 2015, p. 612-621. 10 p.

Research output: Contribution to conference › Paper

On-line learning algorithms for path experts with non-additive losses

Cortes, C., Kuznetsov, V., Mohri, M. & Warmuth, M. K., Jan 1 2015, In : Journal of Machine Learning Research. 40, 2015

Research output: Contribution to journal › Conference article

On the disambiguation of weighted automata

Mohri, M. & Riley, M. D., Jan 1 2015, Implementation and Application of Automata - 20th International Conference, CIAA 2015, Proceedings. Drewes, F. (ed.). Springer Verlag, p. 263-278 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9223).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

On the rademacher complexity of weighted automata

Balle, B. & Mohri, M., Jan 1 2015, Algorithmic Learning Theory - 26th International Conference, ALT 2015. Gentile, C., Zilles, S. & Chaudhuri, K. (eds.). Springer Verlag, p. 179-193 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9355).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Revenue optimization against strategic buyers

Mohri, M. & Medina, A. M., Jan 1 2015, In : Advances in Neural Information Processing Systems. 2015-January, p. 2530-2538 9 p.

Research output: Contribution to journal › Conference article

Structural maxent models

Cortes, C., Kuznetsov, V., Mohri, M. & Syed, U., Jan 1 2015, 32nd International Conference on Machine Learning, ICML 2015. Bach, F. & Blei, D. (eds.). International Machine Learning Society (IMLS), p. 391-399 9 p. (32nd International Conference on Machine Learning, ICML 2015; vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2014

Conditional swap regret and conditional correlated equilibrium

Mohri, M. & Yang, S., Jan 1 2014, In : Advances in Neural Information Processing Systems. 2, January, p. 1314-1322 9 p.

Research output: Contribution to journal › Conference article

Corporate learning at scale: Lessons from a large online course at Google

Asuncion, A., De Haan, J., Mohri, M., Patel, K., Rostamizadeh, A., Syed, U. & Wong, L., Jan 1 2014, p. 187-188. 2 p.

Research output: Contribution to conference › Paper

Deep boosting

Cortes, C., Mohri, M. & Syed, U., Jan 1 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2917-2930 14 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Domain adaptation and sample bias correction theory and algorithm for regression

Cortes, C. & Mohri, M., Jan 30 2014, In : Theoretical Computer Science. 519, p. 103-126 24 p.

Research output: Contribution to journal › Article

Ensemble methods for structured prediction

Cortes, C., Kuznetsov, V. & Mohri, M., Jan 1 2014, 31st International Conference on Machine Learning, ICML 2014. International Machine Learning Society (IMLS), p. 2856-2872 17 p. (31st International Conference on Machine Learning, ICML 2014; vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Generalization bounds for time series prediction with non-stationary processes

Kuznetsov, V. & Mohri, M., Jan 1 2014, Algorithmic Learning Theory - 25th International Conference, ALT 2014, Proceedings. Clark, A., Zeugmann, T., Zilles, S. & Auer, P. (eds.). Springer Verlag, p. 260-274 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8776).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2013

Large-scale SVD and manifold learning

Talwalkar, A., Kumar, S., Mohri, M. & Rowley, H., Oct 1 2013, In : Journal of Machine Learning Research. 14, p. 3129-3152 24 p.

Research output: Contribution to journal › Article