NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (21)

cs.CC2014

Query complexity of sampling and small geometric partitions

Navin Goyal, Luis Rademacher, Santosh Vempala

cs.LG2018

Non-Gaussian Component Analysis using Entropy Methods

Navin Goyal, Abhishek Shetty

cs.DS2014

On Computing Maximal Independent Sets of Hypergraphs in Parallel

Ioana O. Bercea, Navin Goyal, David G. Harris +1

cs.DS2016

Better Analysis of GREEDY Binary Search Tree on Decomposable Sequences

Navin Goyal, Manoj Gupta

cs.CC2013

Dynamic vs Oblivious Routing in Network Design

Navin Goyal, Neil Olver, F. Bruce Shepherd

cs.DS2011

Lower Bounds for the Average and Smoothed Number of Pareto Optima

Navin Goyal, Luis Rademacher

cs.LG2014

Fourier PCA and Robust Tensor Decomposition

Navin Goyal, Santosh Vempala, Ying Xiao

cs.LG2014

The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures

Joseph Anderson, Mikhail Belkin, Navin Goyal +2

cs.DM2010

Satisfiability Thresholds for k-CNF Formula with Bounded Variable Intersections

Karthekeyan Chandrasekaran, Navin Goyal, Bernhard Haeupler

cs.LG2012

Analysis of Thompson Sampling for the multi-armed bandit problem

Shipra Agrawal, Navin Goyal

cs.CC2013

Annotations for Sparse Data Streams

Amit Chakrabarti, Graham Cormode, Navin Goyal +1

cs.DM2008

Expanders via Random Spanning Trees

Navin Goyal, Luis Rademacher, Santosh Vempala

cs.LG2015

Heavy-tailed Independent Component Analysis

Joseph Anderson, Navin Goyal, Anupama Nandi +1

cs.LG2014

Thompson Sampling for Contextual Bandits with Linear Payoffs

Shipra Agrawal, Navin Goyal

cs.LG2013

Efficient learning of simplices

Joseph Anderson, Navin Goyal, Luis Rademacher

cs.LG2017

Heavy-Tailed Analogues of the Covariance Matrix for ICA

Joseph Anderson, Navin Goyal, Anupama Nandi +1

cs.LG2012

Further Optimal Regret Bounds for Thompson Sampling

Shipra Agrawal, Navin Goyal

cs.LG2009

Learning convex bodies is hard

Navin Goyal, Luis Rademacher

cs.DS2019

Deterministic Algorithms for the Lovasz Local Lemma

Karthekeyan Chandrasekaran, Navin Goyal, Bernhard Haeupler

The paper presents deterministic and parallelizable algorithms that efficiently construct solutions guaranteed by the Lovász Local Lemma, improving on previous deterministic method…

#derandomization#lovasz local lemma#k-cnf satisfiability#parallel algorithms
cs.DS2011

On Dynamic Optimality for Binary Search Trees

Navin Goyal, Manoj Gupta

cs.CV2006

An Efficient Approximation Algorithm for Point Pattern Matching Under Noise

Vicky Choi, Navin Goyal