Research Interests
Machine Learning, Statistical Learning Theory, Online Learning and Decision Making, Optimization, Empirical Process Theory, Concentration Inequalities, Game Theory
Selected Publications
- Rakhlin, Alexander, Karthik Sridharan. 2017. "Eļ¬cient Multiclass Prediction on Graphs via Surrogate Losses." Paper presented at AISTATS 2017
- Kusner, Matt, Yu Sun, Karthik Sridharan, Kilian Weinberger. 2016. "Differentially Private Causal Inference." Paper presented at Articial Intelligence and Statistics (AISTATS)
- Foster, Dylan, Li Zhiyuan, Lykouris Thodoris, Karthik Sridharan, Tardos Eva. 2016. "Learning in Games: Robustness of Fast Convergence." Paper presented at Neural Information Processing Systems (NIPS)
- Zeyuan, Allen-Zhu, Yuan Yang, Karthik Sridharan. 2016. "Exploiting the Structure: Stochastic Gradient Methods Us-ing Raw Clusters."Paper presented at Neural Information Processing Systems (NIPS 2016)
- Foster, Dylan, Alexander Rakhlin, Karthik Sridharan. 2015. "Adaptive Online Learning." Paper presented at Neural Information Processing Systems (NIPS)
Selected Awards and Honors
- Best Paper Award - Conference on Learning Theory (COLT) 2011
- Best Paper Award - Conference on Learning Theory (COLT) 2010
- Best Paper Award (Second Prize) - IEEE Automatic Identification Advanced Technologies (AutoID) 2005
- Young IT Professional Award, South Regional, Computer Society of India 2003
Education
Toyota Technological Institute at Chicago 2011