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Author Information
Mehryar Mohri (Courant Institute and Google)
Mehryar Mohri is a Professor of Computer Science and Mathematics at the Courant Institute of Mathematical Sciences and a Research Consultant at Google. Prior to these positions, he spent about ten years at AT&T Bell Labs, later AT&T Labs-Research, where he served for several years as a Department Head and a Technology Leader. His research interests cover a number of different areas: primarily machine learning, algorithms and theory, automata theory, speech processing, natural language processing, and also computational biology. His research in learning theory and algorithms has been used in a variety of applications. His work on automata theory and algorithms has served as the foundation for several applications in language processing, with several of his algorithms used in virtually all spoken-dialog and speech recognitions systems used in the United States. He has co-authored several software libraries widely used in research and academic labs. He is also co-author of the machine learning textbook Foundations of Machine Learning used in graduate courses on machine learning in several universities and corporate research laboratories.
More from the Same Authors
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2022 : Invited Talk #1, Differentially Private Learning with Margin Guarantees, Mehryar Mohri »
Mehryar Mohri -
2017 : Mehryar Mohri (NYU) on Tight Learning Bounds for Multi-Class Classification »
Mehryar Mohri -
2017 : (Invited Talk) Mehryar Mohri: Regret minimization against strategic buyers. »
Mehryar Mohri -
2017 Poster: Discriminative State Space Models »
Vitaly Kuznetsov · Mehryar Mohri -
2017 Poster: Online Learning with Transductive Regret »
Scott Yang · Mehryar Mohri -
2017 Poster: Parameter-Free Online Learning via Model Selection »
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan -
2017 Spotlight: Parameter-Free Online Learning via Model Selection »
Dylan J Foster · Satyen Kale · Mehryar Mohri · Karthik Sridharan -
2017 Spotlight: Online Learning with Transductive Regret »
Scott Yang · Mehryar Mohri -
2016 Tutorial: Theory and Algorithms for Forecasting Non-Stationary Time Series »
Vitaly Kuznetsov · Mehryar Mohri -
2015 Poster: Revenue Optimization against Strategic Buyers »
Mehryar Mohri · Andres Munoz -
2015 Poster: Learning Theory and Algorithms for Forecasting Non-stationary Time Series »
Vitaly Kuznetsov · Mehryar Mohri -
2015 Oral: Learning Theory and Algorithms for Forecasting Non-stationary Time Series »
Vitaly Kuznetsov · Mehryar Mohri