User profiles for P. Ravikumar

Pradeep Ravikumar

- Verified email at cs.cmu.edu - Cited by 20892

Ponneri C. RAVIKUMAR

- Verified email at niser.ac.in - Cited by 2618

Nitrile-containing pharmaceuticals: efficacious roles of the nitrile pharmacophore

FF Fleming, L Yao, PC Ravikumar, L Funk… - Journal of medicinal …, 2010 - ACS Publications
Over 30 nitrile-containing pharmaceuticals are prescribed for a diverse variety of medicinal
indications with more than 20 additional nitrile-containing leads in clinical development. …

[HTML][HTML] Validity of bond strength tests: A critical review-Part II

…, Y Ravishankar, P Ravikumar - Journal of …, 2014 - journals.lww.com
Background: Macro-bond strength tests resulted in cohesive failures and overestimation of
bond strengths. To reduce the flaws, micro-bond strength tests were introduced. They are the …

A review of multivariate distributions for count data derived from the Poisson distribution

…, E Yang, GI Allen, P Ravikumar - Wiley Interdisciplinary …, 2017 - Wiley Online Library
The Poisson distribution has been widely studied and used for modeling univariate count‐valued
data. However, multivariate generalizations of the Poisson distribution that permit …

[PDF][PDF] A Comparison of String Distance Metrics for Name-Matching Tasks.

WW Cohen, P Ravikumar, SE Fienberg - IIWeb, 2003 - pubs.dbs.uni-leipzig.de
Using an open-source, Java toolkit of name-matching methods, we experimentally compare
string distance metrics on the task of matching entity names. We investigate a number of …

High-dimensional Ising model selection using 1-regularized logistic regression

P Ravikumar, MJ Wainwright, JD Lafferty - 2010 - projecteuclid.org
… x(i) ∈ {0,1}p might correspond to the votes of a set of p politicians on a particular bill, and …
They obtain a sample complexity that grows logarithmically in the number of vertices p, but …

Learning with noisy labels

…, IS Dhillon, PK Ravikumar… - Advances in neural …, 2013 - proceedings.neurips.cc
In this paper, we theoretically study the problem of binary classification in the presence of
random classification noise---the learner, instead of seeing the true labels, sees labels that …

High-dimensional covariance estimation by minimizing 1-penalized log-determinant divergence

P Ravikumar, MJ Wainwright, G Raskutti, B Yu - 2011 - projecteuclid.org
… For each graph type, we varied the size of the graph p in different ranges, from p = 64 upwards
to p = 375. For the chain and star graphs, we define a covariance matrix Σ∗ with entries Σ…

A Unified Framework for High-Dimensional Analysis of -Estimators with Decomposable Regularizers

SN Negahban, P Ravikumar, MJ Wainwright, B Yu - 2012 - projecteuclid.org
… High-dimensional statistical inference deals with models in which the the number of
parameters p is comparable to or larger than the sample size n. Since it is usually …

Dags with no tears: Continuous optimization for structure learning

X Zheng, B Aragam, PK Ravikumar… - Advances in neural …, 2018 - proceedings.neurips.cc
Estimating the structure of directed acyclic graphs (DAGs, also known as Bayesian networks)
is a challenging problem since the search space of DAGs is combinatorial and scales …

[PDF][PDF] A comparison of string metrics for matching names and records

W Cohen, P Ravikumar, S Fienberg - Kdd workshop on data cleaning …, 2003 - cs.utexas.edu
We describe an open-source Java toolkit of methods for matching names and records. We
summarize results obtained from using various string distance metrics on the task of matching …