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ORCIDHariharan Narayanan
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2020 – today
- 2023
[c15]Hariharan Narayanan
, Amit Rajaraman, Piyush Srivastava:
Sampling from Convex Sets with a Cold Start using Multiscale Decompositions. STOC 2023: 117-130- 2022
- [j9]Hariharan Narayanan, Piyush Srivastava:
On the mixing time of coordinate Hit-and-Run. Comb. Probab. Comput. 31(2): 320-332 (2022) - [j8]Narayanan Harihar, Hariharan Narayanan:
On Complete Versions of Thevenin-Norton and Maximum Power Transfer Theorems. Circuits Syst. Signal Process. 41(1): 597-608 (2022) - [j7]Somnath Chakraborty, Hariharan Narayanan:
Generating an Equidistributed Net on a Sphere Using Random Rotations. Discret. Comput. Geom. 67(1): 231-257 (2022) - [c14]Hariharan Narayanan, Rikhav Shah, Nikhil Srivastava:
A Spectral Approach to Polytope Diameter. ITCS 2022: 108:1-108:22 - [i14]Hariharan Narayanan, Amit Rajaraman, Piyush Srivastava:
Sampling from convex sets with a cold start using multiscale decompositions. CoRR abs/2211.04439 (2022) - 2021
- [i13]Hariharan Narayanan, Rikhav Shah, Nikhil Srivastava:
A Spectral Approach to Polytope Diameter. CoRR abs/2101.12198 (2021) - [i12]H. Narayanan, Hariharan Narayanan:
On Thevenin-Norton and Maximum power transfer theorems. CoRR abs/2104.05202 (2021) - 2020
- [j6]Hariharan Narayanan:
Higher Dimensional Electrical Circuits. Circuits Syst. Signal Process. 39(4): 1770-1796 (2020) - [j5]Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan:
Reconstruction and Interpolation of Manifolds. I: The Geometric Whitney Problem. Found. Comput. Math. 20(5): 1035-1133 (2020) - [j4]Charles Fefferman, Sergei Ivanov, Matti Lassas, Hariharan Narayanan:
Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances. SIAM J. Math. Data Sci. 2(3): 770-808 (2020) - [i11]Somnath Chakraborty, Hariharan Narayanan:
Learning Mixtures of Spherical Gaussians via Fourier Analysis. CoRR abs/2004.05813 (2020) - [i10]H. Narayanan, Hariharan Narayanan:
Implicit Linear Algebra and Basic Circuit Theory. CoRR abs/2005.00838 (2020) - [i9]Hariharan Narayanan, Piyush Srivastava:
On the mixing time of coordinate Hit-and-Run. CoRR abs/2009.14004 (2020)
2010 – 2019
- 2019
- [c13]Hariharan Narayanan, Steven Weber:
Sum throughput on a random access erasure collision channel. Allerton 2019: 687-694 - 2018
- [c12]Charles Fefferman, Sergei Ivanov, Yaroslav Kurylev, Matti Lassas, Hariharan Narayanan:
Fitting a Putative Manifold to Noisy Data. COLT 2018: 688-720 - [i8]Adam Gustafson, Hariharan Narayanan:
John's Walk. CoRR abs/1803.02032 (2018) - [i7]Somnath Chakraborty, Hariharan Narayanan:
Generating an equidistributed net on a unit n-sphere using random rotations. CoRR abs/1812.01845 (2018) - 2017
- [j3]Hariharan Narayanan, Alexander Rakhlin:
Efficient Sampling from Time-Varying Log-Concave Distributions. J. Mach. Learn. Res. 18: 112:1-112:29 (2017) - 2015
- [c11]Alexandre Belloni, Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin:
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. COLT 2015: 240-265 - [i6]Alexandre Belloni, Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin:
Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions. CoRR abs/1501.07242 (2015) - 2014
- [i5]Tengyuan Liang, Hariharan Narayanan, Alexander Rakhlin:
On Zeroth-Order Stochastic Convex Optimization via Random Walks. CoRR abs/1402.2667 (2014) - 2013
- [j2]Mikhail Belkin, Hariharan Narayanan, Partha Niyogi:
Heat flow and a faster algorithm to compute the surface area of a convex body. Random Struct. Algorithms 43(4): 407-428 (2013) - 2012
- [j1]Ravindran Kannan, Hariharan Narayanan:
Random Walks on Polytopes and an Affine Interior Point Method for Linear Programming. Math. Oper. Res. 37(1): 1-20 (2012) - 2010
- [c10]Hariharan Narayanan, Alexander Rakhlin:
Random Walk Approach to Regret Minimization. NIPS 2010: 1777-1785 - [c9]Hariharan Narayanan, Sanjoy K. Mitter:
Sample Complexity of Testing the Manifold Hypothesis. NIPS 2010: 1786-1794
2000 – 2009
- 2009
- [c8]Hariharan Narayanan, Partha Niyogi:
On the Sample Complexity of Learning Smooth Cuts on a Manifold. COLT 2009 - [c7]Ravi Kannan, Hariharan Narayanan:
Random walks on polytopes and an affine interior point method for linear programming. STOC 2009: 561-570 - [i4]Michael W. Mahoney, Hariharan Narayanan:
Learning with Spectral Kernels and Heavy-Tailed Data. CoRR abs/0906.4539 (2009) - [i3]Hariharan Narayanan:
Randomized Interior Point methods for Sampling and Optimization. CoRR abs/0911.3950 (2009) - 2008
- [c6]Hariharan Narayanan, Partha Niyogi:
Sampling Hypersurfaces through Diffusion. APPROX-RANDOM 2008: 535-548 - [c5]Hariharan Narayanan:
Distributed averaging in the presence of a sparse cut. PODC 2008: 441 - [c4]Prahladh Harsha, Thomas P. Hayes, Hariharan Narayanan, Harald Räcke, Jaikumar Radhakrishnan:
Minimizing average latency in oblivious routing. SODA 2008: 200-207 - [i2]Hariharan Narayanan:
Distributed Averaging using non-convex updates. CoRR abs/0803.3642 (2008) - 2007
- [c3]Hariharan Narayanan:
Geographic gossip on geometric random graphs via affine combinations. PODC 2007: 388-389 - 2006
- [c2]Mikhail Belkin, Hariharan Narayanan, Partha Niyogi:
Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body. FOCS 2006: 47-56 - [c1]Hariharan Narayanan, Mikhail Belkin, Partha Niyogi:
On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts. NIPS 2006: 1025-1032 - [i1]Hariharan Narayanan:
Geographic Gossip on Geometric Random Graphs via Affine Combinations. CoRR abs/cs/0612012 (2006)
Coauthor Index
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