Damek Davis

Orcid: 0000-0003-2105-4641

Affiliations:
  • University of California, Los Angeles, USA


According to our database1, Damek Davis authored at least 37 papers between 2013 and 2023.

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Bibliography

2023
Variance reduction for root-finding problems.
Math. Program., January, 2023

Aiming towards the minimizers: fast convergence of SGD for overparametrized problems.
CoRR, 2023

Aiming towards the minimizers: fast convergence of SGD for overparametrized problems.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Escaping Strict Saddle Points of the Moreau Envelope in Nonsmooth Optimization.
SIAM J. Optim., September, 2022

Graphical Convergence of Subgradients in Nonconvex Optimization and Learning.
Math. Oper. Res., 2022

Proximal Methods Avoid Active Strict Saddles of Weakly Convex Functions.
Found. Comput. Math., 2022

A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
From Low Probability to High Confidence in Stochastic Convex Optimization.
J. Mach. Learn. Res., 2021

Low-Rank Matrix Recovery with Composite Optimization: Good Conditioning and Rapid Convergence.
Found. Comput. Math., 2021

Clustering a Mixture of Gaussians with Unknown Covariance.
CoRR, 2021

Subgradient methods near active manifolds: saddle point avoidance, local convergence, and asymptotic normality.
CoRR, 2021

2020
Trimmed Statistical Estimation via Variance Reduction.
Math. Oper. Res., 2020

Stochastic Subgradient Method Converges on Tame Functions.
Found. Comput. Math., 2020

High probability guarantees for stochastic convex optimization.
Proceedings of the Conference on Learning Theory, 2020

2019
Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems.
SIAM J. Optim., 2019

Stochastic Model-Based Minimization of Weakly Convex Functions.
SIAM J. Optim., 2019

Active strict saddles in nonsmooth optimization.
CoRR, 2019

Robust stochastic optimization with the proximal point method.
CoRR, 2019

Stochastic algorithms with geometric step decay converge linearly on sharp functions.
CoRR, 2019

Composite optimization for robust blind deconvolution.
CoRR, 2019

Global Convergence of the EM Algorithm for Mixtures of Two Component Linear Regression.
Proceedings of the Conference on Learning Theory, 2019

2018
Forward-Backward-Half Forward Algorithm for Solving Monotone Inclusions.
SIAM J. Optim., 2018

Subgradient Methods for Sharp Weakly Convex Functions.
J. Optim. Theory Appl., 2018

Uniform Graphical Convergence of Subgradients in Nonconvex Optimization and Learning.
CoRR, 2018

Stochastic model-based minimization under high-order growth.
CoRR, 2018

Stochastic subgradient method converges at the rate O(k<sup>-1/4</sup>) on weakly convex functions.
CoRR, 2018

2017
Beating Level-Set Methods for 5-D Seismic Data Interpolation: A Primal-Dual Alternating Approach.
IEEE Trans. Computational Imaging, 2017

Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions.
Math. Oper. Res., 2017

2016
A SMART Stochastic Algorithm for Nonconvex Optimization with Applications to Robust Machine Learning.
CoRR, 2016

The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Convergence Rate Analysis of Primal-Dual Splitting Schemes.
SIAM J. Optim., 2015

Convergence Rate Analysis of the Forward-Douglas-Rachford Splitting Scheme.
SIAM J. Optim., 2015

An O(nlog(n)) Algorithm for Projecting Onto the Ordered Weighted ℓ<sub>1</sub> Norm Ball.
CoRR, 2015

Multi-view feature engineering and learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Tactical Scheduling for Precision Air Traffic Operations: Past Research and Current Problems.
J. Aerosp. Inf. Syst., 2014

Asymmetric Sparse Kernel Approximations for Large-Scale Visual Search.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
On the Design and Analysis of Multiple View Descriptors.
CoRR, 2013


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