| 2023 | STOC | Sampling from Convex Sets with a Cold Start using Multiscale Decompositions. | Hariharan Narayanan, Amit Rajaraman, Piyush Srivastava |
| 2018 | COLT | Fitting a Putative Manifold to Noisy Data. | Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan |
| 2015 | COLT | Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. | Alexandre Belloni, Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin |
| 2009 | COLT | On the Sample Complexity of Learning Smooth Cuts on a Manifold. | Hariharan Narayanan, Partha Niyogi |
| 2009 | STOC | Random walks on polytopes and an affine interior point method for linear programming. | Ravi Kannan, Hariharan Narayanan |
| 2008 | PODC | Distributed averaging in the presence of a sparse cut. | Hariharan Narayanan |
| 2008 | SODA | Minimizing average latency in oblivious routing. | Prahladh Harsha, Thomas P. Hayes, Hariharan Narayanan, Harald Rcke, Jaikumar Radhakrishnan |
| 2007 | PODC | Geographic gossip on geometric random graphs via affine combinations. | Hariharan Narayanan |
| 2006 | FOCS | Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. | Mikhail Belkin, Hariharan Narayanan, Partha Niyogi |