
views: 16
Rahul Kidambi
Research
Sign in to view more

Ego Network
D-Core
Research Interests
Author Statistics
Experience
Sign in to view more
Education
Sign in to view more
Bio
I am interested in:
Off-policy (counterfactual) Estimation/Learning for Reinforcement Learning and Contextual Bandits.
Stochastic Approximation for large-scale Machine Learning and Deep Learning.
I study applications of these ideas towards recommender systems and user-facing Machine Learning systems.
Off-policy (counterfactual) Estimation/Learning for Reinforcement Learning and Contextual Bandits.
Stochastic Approximation for large-scale Machine Learning and Deep Learning.
I study applications of these ideas towards recommender systems and user-facing Machine Learning systems.
Papers16 papers
Sort
By YearBy Citation
ALT, pp.22-47, (2020)
NIPS 2020, (2020)
COLT, pp.3190-3193, (2019)
ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019), (2019): 14951-14962
ITA, (2018): 1-9
COLT, pp.545-604, (2018)
Prateek Jain,Sham M. Kakade,Rahul Kidambi,Praneeth Netrapalli, Venkata Krishna Pillutla,Aaron Sidford
FSTTCS, (2017)
Journal of Machine Learning Research, (2017): 223:1-223:42
algorithmic learning theory, pp.22-47, (2017)
Annual Conference on Neural Information Processing Systems, (2015)
2015 53RD ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON), pp.988-992, (2015)
ISBI, pp.676-679, (2012)
View All