Mehryar Mohri
- Advances and Open Problems in Federated Learning
2019/12/10 by Peter Kairouz, H. Brendan McMahan, Kairouz, Peter +115 · 378 citations
Computer Science · #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Domain Adaptation: Learning Bounds and Algorithms
2009/02/19 by Yishay Mansour, Mansour, Yishay, Mehryar Mohri +3 · 68 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Imbalanced Data Classification Techniques #Machine Learning and Data Classification
- Cross-Entropy Loss Functions: Theoretical Analysis and Applications
2023/04/14 by Anqi Mao, Mao, Anqi, Mehryar Mohri +3 · 57 citations
Computer Science · Engineering · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Agnostic Federated Learning
2019/02/01 by Mehryar Mohri, Gary Sivek, Mohri, Mehryar +3 · 42 citations
Computer Science · #Privacy-Preserving Technologies in Data #Topic Modeling #Machine Learning and Algorithms
- Three Approaches for Personalization with Applications to Federated Learning
2020/02/25 by Yishay Mansour, Mehryar Mohri, Mansour, Yishay +5 · 30 citations
Computer Science · #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Recommender Systems and Techniques
- SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
2019/10/14 by Sai Praneeth Karimireddy, Satyen Kale, Karimireddy, Sai Praneeth +9 · 29 citations
Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Cryptography and Data Security
- Learning Theory and Algorithms for Revenue Optimization in Second-Price\n Auctions with Reserve
2013/10/21 by Mehryar Mohri, Mohri, Mehryar, Andrés Muñoz Medina +1 · 16 citations
Business, Management and Accounting · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #Consumer Market Behavior and Pricing #FOS: Computer and information sciences #Machine Learning (cs.LG)
- A Field Guide to Federated Optimization
2021/07/14 by Jianyu Wang, Wang, Jianyu, Zachary Charles +103 · 18 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Stability Bound for Stationary Phi-mixing and Beta-mixing Processes
2008/11/11 by Mehryar Mohri, Afshin Rostamizadeh, Mohri, Mehryar +1 · 6 citations
Decision Sciences · Engineering · #Advanced Statistical Process Monitoring #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG)
- Sample Selection Bias Correction Theory
2008/05/19 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +5 · 5 citations
Computer Science · Mathematics · #Neural Networks and Applications #Advanced Statistical Methods and Models #Evolutionary Algorithms and Applications
- L2 Regularization for Learning Kernels
2012/05/09 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +3 · 5 citations
Computer Science · Engineering · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
- Adapting to Misspecification in Contextual Bandits
2021/07/12 by Dylan J. Foster, Foster, Dylan J., Claudio Gentile +5 · 10 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- New Analysis and Algorithm for Learning with Drifting Distributions
2012/05/19 by Mehryar Mohri, Andrés Muñoz Medina, Mohri, Mehryar +1 · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Beyond Value-Function Gaps: Improved Instance-Dependent Regret Bounds\n for Episodic Reinforcement Learning
2021/07/02 by Christoph Dann, Teodor V. Marinov, Dann, Christoph +5 · 5 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- Strategizing against Learners in Bayesian Games
2022/05/17 by Yishay Mansour, Mansour, Yishay, Mehryar Mohri +5 · 1 voice · 4 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Game Theory and Applications #Machine Learning and Algorithms #cs.GT #cs.LG
- Calibration and Consistency of Adversarial Surrogate Losses
2021/04/19 by Pranjal Awasthi, Natalie S. Frank, Awasthi, Pranjal +7 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Security in Wireless Sensor Networks
- Tight Lower Bound on the Probability of a Binomial Exceeding its\n Expectation
2013/06/06 by Spencer Greenberg, Greenberg, Spencer, Mehryar Mohri +1 · 2 citations
Computer Science · #Machine Learning and Algorithms #Complexity and Algorithms in Graphs #Bayesian Modeling and Causal Inference
- Online Learning with Abstention
2017/03/09 by Corinna Cortes, Giulia DeSalvo, Cortes, Corinna +7 · 2 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Guarantees for Epsilon-Greedy Reinforcement Learning with Function Approximation
2022/06/19 by Christoph Dann, Dann, Christoph, Yishay Mansour +7 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
2023/10/23 by Anqi Mao, Mao, Anqi, Mehryar Mohri +3 · 6 citations
Computer Science · #Anomaly Detection Techniques and Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- Adaptive Region-Based Active Learning
2020/02/18 by Corinna Cortes, Cortes, Corinna, Giulia DeSalvo +7 · 2 citations
Computer Science · #Machine Learning and Algorithms #Optimization and Search Problems #Algorithms and Data Compression
- Enhanced H-Consistency Bounds
2024/07/18 by Anqi Mao, Mao, Anqi, Mehryar Mohri +3 · 5 citations
Computer Science · #Constraint Satisfaction and Optimization #FOS: Computer and information sciences #Logic, Reasoning, and Knowledge #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems
- Realizable H-Consistent and Bayes-Consistent Loss Functions for Learning to Defer
2024/07/18 by Anqi Mao, Mao, Anqi, Mehryar Mohri +3 · 6 citations
Computer Science · #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Relative Deviation Learning Bounds and Generalization with Unbounded\n Loss Functions
2013/10/22 by Corinna Cortes, Cortes, Corinna, Spencer Greenberg +3 · 1 citation
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Criteria Decision Making
- Beyond Individual and Group Fairness
2020/08/21 by Pranjal Awasthi, Awasthi, Pranjal, Corinna Cortes +5 · 2 citations
Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Ethics and Social Impacts of AI #Decision-Making and Behavioral Economics
- Corralling Stochastic Bandit Algorithms
2020/06/16 by Raman Arora, Arora, Raman, Teodor V. Marinov +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Auction Theory and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
- On the Rademacher Complexity of Linear Hypothesis Sets
2020/07/21 by Pranjal Awasthi, Awasthi, Pranjal, Natalie S. Frank +3 · 1 citation
Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference
- Adaptation Algorithm and Theory Based on Generalized Discrepancy
2014/05/07 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +3 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #Data Stream Mining Techniques
- Swap Regret and Correlated Equilibria Beyond Normal-Form Games
2025/02/27 by Eshwar Ram Arunachaleswaran, Arunachaleswaran, Eshwar Ram, Natalie Collina +9 · 2 voices · 1 citation
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Game Theory and Applications #Artificial Intelligence in Games
- On the Existence of the Adversarial Bayes Classifier (Extended Version)
2021/12/03 by Pranjal Awasthi, Awasthi, Pranjal, Natalie S. Frank +3 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Finer Calibration Analysis for Adversarial Robustness
2021/05/04 by Pranjal Awasthi, Anqi Mao, Awasthi, Pranjal +5 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- H-Consistency Guarantees for Regression
2024/03/28 by Anqi Mao, Mao, Anqi, Mehryar Mohri +3 · 3 citations
Engineering · Mathematics · #Control Systems and Identification #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- Policy Regret in Repeated Games
2018/11/09 by Raman Arora, Michael Dinitz, Arora, Raman +5 · 1 citation
Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Misinformation and Its Impacts #Game Theory and Applications
- High-Dimensional Calibration from Swap Regret
2025/05/27 by Maxwell Fishelson, Fishelson, Maxwell, Noah Golowich +5 · 1 voice · 2 citations
Computer Science · #Neural Networks and Applications #cs.DS #cs.GT #cs.LG #stat.ML
- Balancing the Scales: A Theoretical and Algorithmic Framework for Learning from Imbalanced Data
2025/02/14 by Corinna Cortes, Anqi Mao, Cortes, Corinna +5 · 4 citations
Computer Science · #Imbalanced Data Classification Techniques