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Methodology
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non-convex optimization
546 papers
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Also known as
IRLS
Co-occurring keywords
stochastic gradient descent
(1088)
stochastic optimization
(1060)
gradient descent
(1143)
convergence rate
(606)
convergence analysis
(394)
variance reduction
(520)
nonconvex optimization
(316)
saddle point
(95)
matrix factorization
(529)
online learning
(1770)
Papers
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
ICML 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking
ICML 2020
Stochastic Optimization for Non-convex Inf-Projection Problems
ICML 2020
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
ALT 2020
Differentially Private Empirical Risk Minimization with Smooth Non-Convex Loss Functions: A Non-Stationary View
AAAI 2019
Dynamic Local Regret for Non-convex Online Forecasting
NIPS 2019
Towards Understanding the Importance of Shortcut Connections in Residual Networks
NIPS 2019
On the Ineffectiveness of Variance Reduced Optimization for Deep Learning
NIPS 2019
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning
NIPS 2019
Non-Convex Projected Gradient Descent for Generalized Low-Rank Tensor Regression
JMLR 2019
Learning to Match via Inverse Optimal Transport
JMLR 2019
Stochastic Variance-Reduced Cubic Regularization Methods
JMLR 2019
Efficient Algorithms for Smooth Minimax Optimization
NIPS 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games
NIPS 2019
Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions
NIPS 2019
Towards closing the gap between the theory and practice of SVRG
NIPS 2019
Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems
JMLR 2019
Optimization with Non-Differentiable Constraints with Applications to Fairness, Recall, Churn, and Other Goals
JMLR 2019
Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems
UAI 2019
Deep Dominance - How to Properly Compare Deep Neural Models
ACL 2019
Toward Controlling Discrimination in Online Ad Auctions
ICML 2019
Robust Video Stabilization by Optimization in CNN Weight Space
CVPR 2019
Bringing a Blurry Frame Alive at High Frame-Rate With an Event Camera
CVPR 2019
Sparse Kernel Regression with Coefficient-based $\ell_q-$regularization
JMLR 2019
C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
CVPR 2019
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