Ayush Sekhari

Ayush Sekhari


Contact Details:

Email: sekhari [at] cs [dot] cornell [dot] edu Office: 324, Bill and Melinda Gates Hall, Cornell University, Ithaca, NY - 14853



I am a second year Ph.D. student in the Computer Science department at Cornell University, where I have the great fortune to be advised by Prof. Karthik Sridharan and Prof. Robert D. Kleinberg . I am interested in theoretical aspects of Machine Learning and Computer Science.

I completed my undergraduate from Indian Institute of Techonology Kanpur (IIT Kanpur), India in 2016 and, after that, spent a year at Google as a part of the Brain Residency program (now called AI Residency).


Recent News

  • We recived the best student paper award at COLT 2019 for our work on finding stationary points in stochastic convex optimization.
  • New paper out on Arxiv - The Complexity of Making the Gradient Small in Stochastic Convex Optimization. Accepted to COLT 2019.
  • Uniform Convergence of Gradients for Non-convex Optimization and Learning accepted at NIPS 2018.
  • Spending summers 2017 with FICC Macro Strats and Trading in Securities division at Goldman Sachs - Hong Kong.
  • Awarded Presidents Gold Medal 2016, IIT Kanpur for best academic performance in the graduating batch.
  • Selected under the Google Brain Residency Program 2016.

Publications

  1. The Complexity of Making the Gradient Small in Stochastic Convex Optimization
    Dylan Foster, Ayush Sekhari, Ohad Shamir, Nathan Srebro, Karthik Sridharan, Blake Woodworth
    COLT 2019. Best Student Paper Award.

  2. Uniform Convergence of Gradients for Non-Convex Learning and Optimization
    Dylan Foster, Ayush Sekhari, Karthik Sridharan
    NeurIPS 2018. Short version at ICML 2018 Nonconvex Optimization workshop.

Service

  • Reviewing: ICLR 2019, AISTATS 2019, ICML 2019, COLT 2019, NeurIPS 2019

Teaching