Details
Title
Cevher, Volkan
Sciper ID
199128
Affiliated labs
LIONS
Publications
A new regret analysis for Adam-type algorithms
A totally unimodular view of structured sparsity
Benign Overfitting in Deep Neural Networks under Lazy Training
Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices
Convexity in source separation: Models, geometry, and algorithms
Double-Loop Unadjusted Langevin Algorithm
Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework
Learning non-parametric basis independent models from point queries via low-rank methods
On Certifying Non-Uniform Bounds against Adversarial Attacks
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
See complete list of publications (293)
A totally unimodular view of structured sparsity
Benign Overfitting in Deep Neural Networks under Lazy Training
Converse Bounds for Noisy Group Testing with Arbitrary Measurement Matrices
Convexity in source separation: Models, geometry, and algorithms
Double-Loop Unadjusted Langevin Algorithm
Efficient and Near-Optimal Noisy Group Testing: An Information-Theoretic Framework
Learning non-parametric basis independent models from point queries via low-rank methods
On Certifying Non-Uniform Bounds against Adversarial Attacks
Regret Minimization in Stochastic Non-Convex Learning via a Proximal-Gradient Approach
See complete list of publications (293)
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Cevher, V.
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