Arun Jambulapati
14 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🔥 Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
(70)
Venues
Top co-authors
Research topics
Keywords
convex optimization
(7)
parallel algorithm
(2)
lipschitz function
(2)
oracle complexity
(2)
accelerated gradient
(2)
query complexity
(2)
semidefinite programming
(1)
spectral clustering
(1)
stochastic optimization
(1)
optimal transport
(1)
sample complexity
(1)
minimax optimization
(1)
covariance matrix
(1)
dynamic programming
(1)
logistic regression
(1)
robust regression
(1)
robust principal component analysis
(1)
principal component analysis
(1)
matrix approximation
(1)
gradient descent
(1)
Papers
Convex optimization with p-norm oracles
ALT 2026
Black-Box k-to-1-PCA Reductions: Theory and Applications
COLT 2024
Closing the Computational-Query Depth Gap in Parallel Stochastic Convex Optimization
COLT 2024
Testing Calibration in Nearly-Linear Time
NeurIPS 2024
Revisiting Area Convexity: Faster Box-Simplex Games and Spectrahedral Generalizations
NeurIPS 2023
Structured Semidefinite Programming for Recovering Structured Preconditioners
NeurIPS 2023
Optimal and Adaptive Monteiro-Svaiter Acceleration
NeurIPS 2022
RECAPP: Crafting a More Efficient Catalyst for Convex Optimization
ICML 2022
Robust Regression Revisited: Acceleration and Improved Estimation Rates
NeurIPS 2021
Stochastic Bias-Reduced Gradient Methods
NeurIPS 2021
Thinking Inside the Ball: Near-Optimal Minimization of the Maximal Loss
COLT 2021
Acceleration with a Ball Optimization Oracle
NeurIPS 2020
Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing
NeurIPS 2020
A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport
NeurIPS 2019