Swati Padmanabhan
6 papers · 2020–2024 · 2 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(14)
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Hot Topic Early Bird
Venues
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Research topics
Keywords
convex optimization
(2)
stochastic gradient descent
(1)
non-convex optimization
(1)
semidefinite programming
(1)
numerical optimization
(1)
importance sampling
(1)
variance reduction
(1)
matrix approximation
(1)
sensitivity analysis
(1)
primal-dual algorithm
(1)
regression analysis
(1)
submodular minimization
(1)
mirror descent
(1)
cutting plane method
(1)
non-negative least squares
(1)
bilevel optimization
(1)
gradient oracle
(1)
approximation algorithm
(1)
linear constraint
(1)
lipchitz function
(1)
Papers
First-Order Methods for Linearly Constrained Bilevel Optimization
NeurIPS 2024
Computing Approximate ℓ_p Sensitivities
NeurIPS 2023
A Fast Scale-Invariant Algorithm for Non-negative Least Squares with Non-negative Data
NeurIPS 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NeurIPS 2022
Decomposable Non-Smooth Convex Optimization with Nearly-Linear Gradient Oracle Complexity
NeurIPS 2022
An Õ(m/ε^3.5)-Cost Algorithm for Semidefinite Programs with Diagonal Constraints
COLT 2020