Concepedia
Statistics
Publications
12
Citations
524
H-Index
11
Active since
2016
Affiliations
Cornell University(Current)
University of Washington
Microsoft (United States)
Seattle University
Rahul Kidambi is an author at Cornell University specializing in computer science, engineering, and machine learning.
Top concepts
EngineeringComputer ScienceMachine LearningStochastic OptimizationData ScienceStatistical InferenceConvex OptimizationApproximation TheoryMathematical ProgrammingRobot Learning
Publications per year
2016–2020
MOReL : Model-Based Offline Reinforcement Learning
Rahul Kidambi, Aravind Rajeswaran, Praneeth Netrapalli et al. · arXiv (Cornell University) · 2020 · 157 citations · Full text
Artificial Intelligence, Model-based Learning, Model-free Learning +15
Parallelizing Stochastic Gradient Descent for Least Squares Regression: mini-batching, averaging, and model misspecification
Prateek Jain, Sham M. Kakade, Rahul Kidambi et al. · arXiv (Cornell University) · 2016 · 89 citations · Full text
Engineering, Machine Learning, Least Squares Regression +16
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares
Rong Ge, Sham M. Kakade, Rahul Kidambi et al. · arXiv (Cornell University) · 2019 · 66 citations · Full text
Mathematical Programming, Engineering, Machine Learning +18
Accelerating Stochastic Gradient Descent for Least Squares Regression
Prateek Jain, Sham M. Kakade, Rahul Kidambi et al. · Conference on Learning Theory · 2018 · 50 citations
Mathematical Programming, Model Optimization, Least Squares Regression +15
The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning\n Rate Procedure For Least Squares
Rong Ge, Sham M. Kakade, Rahul Kidambi et al. · arXiv (Cornell University) · 2019 · 37 citations · Full text
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