Karthik Sridharan

Associate Professor
Computer Science

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.  “Efficient 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

Websites