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Karthik Sridharan

  1. Optimization, Learning, and Games with Predictable Sequences
    2013/11/08 by Alexander Rakhlin, Karthik Sridharan, Rakhlin, Alexander +1 · 17 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Complexity and Algorithms in Graphs #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
  2. Online Learning via Sequential Complexities
    2010/06/06 by Alexander Rakhlin, Rakhlin, Alexander, Karthik Sridharan +3 · 7 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computability, Logic, AI Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
  3. Adaptive Online Learning
    2015/08/21 by Dylan J. Foster, Foster, Dylan J., Alexander Rakhlin +3 · 7 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
  4. Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
    2018/09/11 by Andrew Cotter, Heinrich Jiang, Cotter, Andrew +11 · 6 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  5. Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
    2018/06/29 by Andrew Cotter, Maya R. Gupta, Cotter, Andrew +13 · 7 citations
    Computer Science · Social Sciences · #Explainable Artificial Intelligence (XAI) #Ethics and Social Impacts of AI #Adversarial Robustness in Machine Learning
  6. Uniform Convergence of Gradients for Non-Convex Learning and Optimization
    2018/10/25 by Dylan J. Foster, Ayush Sekhari, Foster, Dylan J. +3 · 5 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Domain Adaptation and Few-Shot Learning
  7. The Complexity of Making the Gradient Small in Stochastic Convex\n Optimization
    2019/02/12 by Dylan J. Foster, Ayush Sekhari, Foster, Dylan J. +9 · 5 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Complexity and Algorithms in Graphs #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  8. On the Universality of Online Mirror Descent
    2011/07/20 by Nathan Srebro, Nati Srebro, Srebro, Nathan +4 · 1 voice · 4 citations
    Decision Sciences · Computer Science · #cs.LG
  9. Online Optimization : Competing with Dynamic Comparators
    2015/01/26 by Ali Jadbabaie, Jadbabaie, Ali, Alexander Rakhlin +5 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Optimization and Search Problems #Reinforcement Learning in Robotics
  10. Online Nonparametric Regression with General Loss Functions
    2015/01/26 by Alexander Rakhlin, Rakhlin, Alexander, Karthik Sridharan +1 · 4 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #Distributed Sensor Networks and Detection Algorithms
  11. Private Causal Inference
    2015/12/17 by Matt J. Kusner, Kusner, Matt J., Yu Sun +5 · 2 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Statistical Methods and Bayesian Inference
  12. 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
  13. Online Learning: Sufficient Statistics and the Burkholder Method
    2018/03/20 by Dylan J. Foster, Alexander Rakhlin, Foster, Dylan J. +3 · 2 citations
    Decision Sciences · Engineering · Computer Science · #Advanced Bandit Algorithms Research #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  14. Relax and Localize: From Value to Algorithms
    2012/04/04 by Alexander Rakhlin, Rakhlin, Alexander, Ohad Shamir +3 · 2 citations
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  15. Inference in Sparse Graphs with Pairwise Measurements and Side Information
    2017/03/08 by Dylan J. Foster, Foster, Dylan J., Daniel Reichman +3 · 1 citation
    Computer Science · Materials Science · #Topological and Geometric Data Analysis #Carbon and Quantum Dots Applications #Complexity and Algorithms in Graphs
  16. Contextual Bandits and Imitation Learning via Preference-Based Active Queries
    2023/07/24 by Ayush Sekhari, Sekhari, Ayush, Karthik Sridharan +5 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Multimodal Machine Learning Applications