Vidyashankar Sivakumar
8 papers · 2014–2022 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
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Research topics
Keywords
regret bound
(2)
gaussian width
(2)
contextual bandit
(2)
sparse regression
(2)
high-dimensional statistics
(1)
high-dimensional estimation
(1)
feature selection
(1)
lasso regression
(1)
group lasso
(1)
structured estimation
(1)
sequential decision
(1)
sparse optimization
(1)
primal-dual algorithm
(1)
restricted eigenvalue
(1)
gaussian noise
(1)
quantile regression
(1)
adversarial setting
(1)
norm regularization
(1)
restricted isometry property
(1)
sample complexity
(1)
Papers
Smoothed Adversarial Linear Contextual Bandits with Knapsacks
ICML 2022
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
ICML 2020
Interpretable Predictive Modeling for Climate Variables with Weighted Lasso
AAAI 2019
Random Quadratic Forms with Dependence: Applications to Restricted Isometry and Beyond
NeurIPS 2019
High-Dimensional Structured Quantile Regression
ICML 2017
Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs
NeurIPS 2015
Open Problem: Restricted Eigenvalue Condition for Heavy Tailed Designs
COLT 2015
Estimation with Norm Regularization
NeurIPS 2014