student working on autonomous airplane
Student in lab working with vials

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