◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

N. Narisetty

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • stat.ME2
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182021
collaborators

4 papers

cs.LG2021

Regret Lower Bound and Optimal Algorithm for High-Dimensional Contextual Linear Bandit

Ke Li, Yun Yang, Naveen N. Narisetty

In this paper, we consider the multi-armed bandit problem with high-dimensional features. First, we prove a minimax lower bound, $\mathcal{O}\big((\log d)^{\frac{α+1}{2}}T^{\frac{1…

stat.ME2021

Identifying regions of inhomogeneities in spatial processes via an M-RA and mixture priors

Marco H. Benedetti, Veronica J. Berrocal, Naveen N. Narisetty

Soils have been heralded as a hidden resource that can be leveraged to mitigate and address some of the major global environmental challenges. Specifically, the organic carbon stor…

stat.ME2019

Evaluating proxy influence in assimilated paleoclimate reconstructions -- Testing the exchangeability of two ensembles of spatial processes

Trevor Harris, Bo Li, Nathan Steiger +3

Climate field reconstructions (CFR) attempt to estimate spatiotemporal fields of climate variables in the past using climate proxies such as tree rings, ice cores, and corals. Data…

stat.ML2018

Bayesian Regularization for Graphical Models with Unequal Shrinkage

Lingrui Gan, Naveen N. Narisetty, Feng Liang

We consider a Bayesian framework for estimating a high-dimensional sparse precision matrix, in which adaptive shrinkage and sparsity are induced by a mixture of Laplace priors. Bes…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.