Hariharan Narayanan

发表

On the complexity of computing Kostka numbers and Littlewood-Richardson coefficients

Hariharan Narayanan, 2006 .

Mixing times and e p bounds for oblivious routing

G. Lawler, Hariharan Narayanan, 2009 .

Sample Complexity of Testing the Manifold Hypothesis

Hariharan Narayanan, Sanjoy K. Mitter, S. Mitter, 2010, NIPS.

Escaping the Local Minima via Simulated Annealing: Optimization of Approximately Convex Functions

Hariharan Narayanan, Tengyuan Liang, Alexander Rakhlin, 2015, COLT.

Testing the Manifold Hypothesis

S. Mitter, C. Fefferman, Hariharan Narayanan, 2013, 1310.0425.

Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis

Hariharan Narayanan, K. Mohammed, 2017, 1709.03615.

Implicit Linear Algebra and its Applications

Hariharan Narayanan, 2016, 1609.07991.

On the Duality between Controllability and Observability in Behavioural Systems Theory

Hariharan Narayanan, 2013 .

A subspace approach to linear dynamical systems

Hariharan Narayanan, H. Priyadarshan, 2013 .

On the linking of number lattices.

Hariharan Narayanan, 2019, 1907.08675.

Estimating Certain Non-Zero Littlewood-Richardson Coefficients

Hariharan Narayanan, 2013, 1306.4060.

Estimating deep Littlewood-Richardson Coefficients

Hariharan Narayanan, 2014 .

Geometric complexity theory III: on deciding nonvanishing of a Littlewood–Richardson coefficient

K. Mulmuley, Hariharan Narayanan, M. Sohoni, 2012 .

ar 2 01 8 John ’ s Walk

Hariharan Narayanan, Adam Gustafson, 2018 .

Estimating deep Littlewood-Richardson Coefficients Hariharan Narayanan

Hariharan Narayanan, 2019 .

The principal lattice of partitions of a submodular function

H. Narayanan, Hariharan Narayanan, 1991 .

Biological remodelling: Stationary energy, configurational change, internal variables and dissipation

H. Narayanan, K. Grosh, K. Garikipati, 2005, q-bio/0506023.

On molecular and atomic matroids

H. Narayanan, M. N. Vartak, Hariharan Narayanan, 1981 .

On set functions that can be extended to convex functionals

Hariharan Narayanan, 2005 .

Volumes of codimension one manifolds and a randomized polynomial-time algorithm for computing the surface volume of a smooth convex body

P. Niyogi, Hariharan Narayanan, 2006 .

Structural Risk Minimization for $C^{1,1}(\mathbb{R}^d)$ Regression

Hariharan Narayanan, M. Hirn, K. Mohammed, 2018, 1803.10884.

Structural Risk Minimization for C 1 , 1 p R d q Regression

Hariharan Narayanan, M. Hirn, K. Mohammed, 2018 .

Higher Dimensional Electrical Circuits

Hariharan Narayanan, 2017, Circuits, Systems, and Signal Processing.

Language Evolution, Coalescent Processes, and

P. Niyogi, Hariharan Narayanan, 2013 .

Mixing times and ℓpbounds for Oblivious routing

Hariharan Narayanan, Gregory F. Lawler, G. Lawler, 2009 .

The computation of Kostka Numbers and Littlewood-Richardson Coefficients is #P-complete

Hariharan Narayanan, 2005, math/0501176.

Random concave functions on an equilateral lattice with periodic hessians

Hariharan Narayanan, 2019, 1909.08586.

Sampling from Convex Sets with a Cold Start using Multiscale Decompositions

P. Srivastava, Hariharan Narayanan, A. Rajaraman, 2022, STOC.

Large deviations for random hives and the spectrum of the sum of two random matrices

Hariharan Narayanan, S. Sheffield, 2021, 2111.00421.

Damped random walks and the characteristic polynomial of the weighted Laplacian on a graph

Hariharan Narayanan, M. Desai, 2005, math/0506460.

Higher Dimensional Electrical Circuits

Hariharan Narayanan, 2019, Circuits, Systems, and Signal Processing.

Convolution and Dilworth truncation of submodular functions

Hariharan Narayanan, 2013 .

Reconstruction of a Riemannian Manifold from Noisy Intrinsic Distances

Hariharan Narayanan, Charles Fefferman, Sergei Ivanov, 2019, SIAM J. Math. Data Sci..

Efficient Sampling from Time-Varying Log-Concave Distributions

Hariharan Narayanan, Alexander Rakhlin, A. Rakhlin, 2013, J. Mach. Learn. Res..

Fitting a manifold of large reach to noisy data

C. Fefferman, S. Ivanov, Hariharan Narayanan, 2019, Journal of Topology and Analysis.

Reconstruction and interpolation of manifolds II: Inverse problems for Riemannian manifolds with partial distance data

Matti Lassas, Hariharan Narayanan, Charles Fefferman, 2021, 2111.14528.

Learning with Spectral Kernels and Heavy-Tailed Data pdf

Michael W. Mahoney, Hariharan Narayanan, Hariharan Narayanan, 2009, ArXiv.

Sampling Hypersurfaces through Diffusion

Hariharan Narayanan, Partha Niyogi, P. Niyogi, 2008, APPROX-RANDOM.

On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts

Mikhail Belkin, Hariharan Narayanan, Partha Niyogi, 2006, NIPS.

Random walks on polytopes and an affine interior point method for linear programming

Hariharan Narayanan, Ravi Kannan, R. Kannan, 2009, STOC '09.

On the notion of generalized minor in topological network theory and matroids

Hariharan Narayanan, Siva Theja, 2014 .

Topological transformations of electrical networks

H. Narayanan, Hariharan Narayanan, 1987 .

The micromechanics of fluid–solid interactions during growth in porous soft biological tissue

H Narayanan, E M Arruda, K Grosh, 2007, Biomechanics and modeling in mechanobiology.

Biological Growth: Reaction, Transport and Mechanics Theory and Numerical Models (1.0.2)

Hariharan Narayanan, E. Arruda, 2007 .

Schramm-Loewner Evolution (SLE)

Gregory F. Lawler, Hariharan Narayanan, R. Masson, 2007 .

On the Sample Complexity of Learning Smooth Cuts on a Manifold

Hariharan Narayanan, Partha Niyogi, P. Niyogi, 2009, COLT.

$$\sin (\omega x)$$sin(ωx) Can Approximate Almost Every Finite Set of Samples

G. Harman, S. Kulkarni, Hariharan Narayanan, 2015 .

2D UHR seismic survey as a tool for mapping of shallow sub-surface soil stratigraphy at exploratory well locations and for initial assessment of geohazard risk for jack-up platform – A case study

Hariharan Narayanan, 2020 .

Reconstruction and Interpolation of Manifolds. I: The Geometric Whitney Problem

Matti Lassas, Hariharan Narayanan, Charles Fefferman, 2015, Foundations of Computational Mathematics.

Distributed Averaging using non-convex updates pdf

Hariharan Narayanan, Hariharan Narayanan, 2008, ArXiv.

Distributed averaging in the presence of a sparse cut

Hariharan Narayanan, Hariharan Narayanan, 2008, PODC '08.

Fitting a Putative Manifold to Noisy Data

Matti Lassas, Hariharan Narayanan, Charles Fefferman, 2018, COLT.

Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body

Mikhail Belkin, Hariharan Narayanan, Partha Niyogi, 2006, 2006 47th Annual IEEE Symposium on Foundations of Computer Science (FOCS'06).

Chaper 1 Introduction

H. Narayanan, Hariharan Narayanan, 1997 .

Random Walk Approach to Regret Minimization

Hariharan Narayanan, Alexander Rakhlin, A. Rakhlin, 2010, NIPS.

On composition and decomposition operations for vector spaces, graphs and matroids

Hariharan Narayanan, 2023, ArXiv.

Sums of GUE matrices and concentration of hives from correlation decay of eigengaps

Hariharan Narayanan, S. Sheffield, T. Tao, 2023, Probability Theory and Related Fields.

On Zeroth-Order Stochastic Convex Optimization via Random Walks pdf

Hariharan Narayanan, Tengyuan Liang, Alexander Rakhlin, 2014, ArXiv.

Randomized Interior Point methods for Sampling and Optimization pdf

Hariharan Narayanan, Hariharan Narayanan, 2009, ArXiv.

Language evolution, coalescent processes, and the consensus problem on a social network

Hariharan Narayanan, Partha Niyogi, P. Niyogi, 2014 .

Polyhedrally Tight Set Functions and Discrete Convexity

S. Fujishige, H. Narayanan, S. Fujishige, 2005 .

ELECTRONIC COMMUNICATIONS in PROBABILITY GEOMETRIC INTERPRETATION OF HALF-PLANE CAPACITY

G. Lawler, S. Lalley, Hariharan Narayanan, 2009 .

John’s walk pdf

Hariharan Narayanan, Adam Gustafson, Hariharan Narayanan, 2018, Advances in Applied Probability.

On composition and decomposition operations for vector spaces, graphs and matroids

Hariharan Narayanan, 2023, arXiv.org.

On Thevenin-Norton and Maximum power transfer theorems

Hariharan Narayanan, 2021, ArXiv.

On Duality of Behavioural Systems

Harish K. Pillai, H. Narayanan, H. Pillai, 2002, Multidimens. Syst. Signal Process..

On the decomposition of vector spaces

Hariharan Narayanan, 1986 .

Volation of port conditions in the interconnection of multiports

H. Narayanan, Hariharan Narayanan, 1985 .

Large deviations for random hives and the spectrum of the sum of two random matrices

Hariharan Narayanan, S. Sheffield, 2021, 2111.00421.

On a convexity property of tensor products of irreducible, rational representations of $SL(n)$

Hariharan Narayanan, C. S. Rajan, Hariharan Narayanan, 2021, 2106.05028.

On the complexity of computing Kostka numbers and Littlewood-Richardson coefficients

Hariharan Narayanan, 2006 .