Mohri, Mehryar
- Advances and Open Problems in Federated Learning
2019/12/10 by Peter Kairouz, Kairouz, Peter, H. Brendan McMahan +115 · 407 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, Mehryar Mohri, Mansour, Yishay +3 · 75 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, Mehryar Mohri, Mao, Anqi +3 · 62 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, Mohri, Mehryar, Gary Sivek +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 · 33 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 · 32 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, Andrés Muñoz Medina, Mohri, Mehryar +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 · 19 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, Mohri, Mehryar, Afshin Rostamizadeh +1 · 8 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)
- L2 Regularization for Learning Kernels
2012/05/09 by Corinna Cortes, Cortes, Corinna, Mehryar Mohri +3 · 7 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
- New Analysis and Algorithm for Learning with Drifting Distributions
2012/05/19 by Mehryar Mohri, Mohri, Mehryar, Andrés Muñoz Medina +1 · 7 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
- 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
- Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
2020/08/08 by Sai Praneeth Karimireddy, Karimireddy, Sai Praneeth, Martin Jaggi +11 · 8 citations
Computer Science · #68W15 #68W40 #90C06 #90C25 #Cryptography and Data Security #Distributed #E.4 #F.2.1 #FOS: Computer and information sciences #FOS: Mathematics #G.1.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- 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
- Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
2020/04/28 by Awasthi, Pranjal, Frank, Natalie, Mohri, Mehryar · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- Hypothesis Set Stability and Generalization
2019/04/09 by Foster, Dylan J., Greenberg, Spencer, Kale, Satyen +3 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- Learning with User-Level Privacy
2021/02/23 by Levy, Daniel, Sun, Ziteng, Amin, Kareem +4 · 4 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Parameter-free online learning via model selection
2017/12/30 by Foster, Dylan J., Kale, Satyen, Mohri, Mehryar +1 · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Calibration and Consistency of Adversarial Surrogate Losses
2021/04/19 by Pranjal Awasthi, Awasthi, Pranjal, Natalie S. Frank +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
- Online Learning with Abstention
2017/03/09 by Corinna Cortes, Giulia DeSalvo, Cortes, Corinna +7 · 3 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 · 4 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
- Multiple Source Adaptation and the Renyi Divergence
2012/05/09 by Mansour, Yishay, Mohri, Mehryar, Rostamizadeh, Afshin · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Tight Lower Bound on the Probability of a Binomial Exceeding its\n Expectation
2013/06/06 by Spencer Greenberg, Mehryar Mohri, Greenberg, Spencer +1 · 2 citations
Computer Science · #Machine Learning and Algorithms #Complexity and Algorithms in Graphs #Bayesian Modeling and Causal Inference
- AdaNet: Adaptive Structural Learning of Artificial Neural Networks
2016/07/05 by Cortes, Corinna, Gonzalvo, Xavi, Kuznetsov, Vitaly +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Logistic Regression: The Importance of Being Improper
2018/03/25 by Foster, Dylan J., Kale, Satyen, Luo, Haipeng +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Algorithms and Theory for Multiple-Source Adaptation
2018/05/20 by Hoffman, Judy, Mohri, Mehryar, Zhang, Ningshan · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Theoretically Grounded Loss Functions and Algorithms for Score-Based Multi-Class Abstention
2023/10/23 by Anqi Mao, Mehryar Mohri, Mao, Anqi +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
- Principled Approaches for Learning to Defer with Multiple Experts
2023/10/23 by Mao, Anqi, Mohri, Mehryar, Zhong, Yutao · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Compact Representations by Finite-State Transducers
1994/07/04 by Mohri, Mehryar · 1 citation
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- On the Existence of the Adversarial Bayes Classifier (Extended Version)
2021/12/03 by Pranjal Awasthi, Awasthi, Pranjal, Natalie S. Frank +3 · 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)
- 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, Mehryar Mohri, Mao, Anqi +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, Spencer Greenberg, Cortes, Corinna +3 · 1 citation
Decision Sciences · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multi-Criteria Decision Making
- Predictor-Rejector Multi-Class Abstention: Theoretical Analysis and Algorithms
2023/10/23 by Mao, Anqi, Mohri, Mehryar, Zhong, Yutao · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Best-Effort Adaptation
2023/05/10 by Awasthi, Pranjal, Cortes, Corinna, Mohri, Mehryar · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Cardinality-Aware Set Prediction and Top-k Classification
2024/07/09 by Cortes, Corinna, Mao, Anqi, Mohri, Christopher +2 · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Swap Regret and Correlated Equilibria Beyond Normal-Form Games
2025/02/27 by Eshwar Ram Arunachaleswaran, Arunachaleswaran, Eshwar Ram, Natalie Collina +9 · 2 voices · 2 citations
Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Game Theory and Applications #Artificial Intelligence in Games
- Regression with Multi-Expert Deferral
2024/03/28 by Mao, Anqi, Mohri, Mehryar, Zhong, Yutao · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- A Universal Growth Rate for Learning with Smooth Surrogate Losses
2024/05/09 by Mao, Anqi, Mohri, Mehryar, Zhong, Yutao · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Bandits with Feedback Graphs and Switching Costs
2019/07/29 by Arora, Raman, Marinov, Teodor V., Mohri, Mehryar · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- Multi-Label Learning with Stronger Consistency Guarantees
2024/07/18 by Mao, Anqi, Mohri, Mehryar, Zhong, Yutao · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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
- Beyond Individual and Group Fairness
2020/08/21 by Pranjal Awasthi, Awasthi, Pranjal, Corinna Cortes +5 · 1 citation
Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Ethics and Social Impacts of AI #Decision-Making and Behavioral Economics
- 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
- Ranking with Abstention
2023/07/05 by Mao, Anqi, Mohri, Mehryar, Zhong, Yutao · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- 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, Arora, Raman, Michael Dinitz +5 · 1 citation
Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Misinformation and Its Impacts #Game Theory and Applications
- Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations
2021/06/22 by Dann, Christoph, Mansour, Yishay, Mohri, Mehryar +2 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Systems and Control (eess.SY) #electronic engineering #information engineering
- 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
- A Finer Calibration Analysis for Adversarial Robustness
2021/05/04 by Pranjal Awasthi, Awasthi, Pranjal, Anqi Mao +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
- 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