Restart and Adaptive Acceleration in Stochastic Gradient Methods | Paper Citation Record

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This paper cites IMA Journal of Numerical Analysis , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods IMA Journal of Numerical Analysis , volume =

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This paper cites Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O (epsilon\^.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O (epsilon\^

Reference 2

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This paper cites SGDR: Stochastic Gradient Descent with Warm Restarts.

Restart and Adaptive Acceleration in Stochastic Gradient Methods SGDR: Stochastic Gradient Descent with Warm Restarts

Reference 3

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Observation 288020d3-d210-4f25-90d9-527d936a3ef5 · outbound

This paper cites Adaptive restart of the optimized gradient method for convex optimization , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Adaptive restart of the optimized gradient method for convex optimization , volume =

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This paper cites Scheduled restart momentum for accelerated stochastic gradient descent , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Scheduled restart momentum for accelerated stochastic gradient descent , volume =

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This paper cites Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization

Reference 6

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This paper cites Rsg: Beating subgradient method without smoothness and strong convexity , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Rsg: Beating subgradient method without smoothness and strong convexity , volume =

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This paper cites Kurdyka--.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Kurdyka--

Reference 8

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This paper cites Learning with gradient descent and weakly convex losses , year =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Learning with gradient descent and weakly convex losses , year =

Reference 9

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This paper cites Subgradient methods under weak convexity and tame geometry , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Subgradient methods under weak convexity and tame geometry , volume =

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This paper cites From error bounds to the complexity of first-order descent methods for convex functions , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods From error bounds to the complexity of first-order descent methods for convex functions , volume =

Reference 11

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This paper cites Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward--backward splitting, and regularized Gauss--Seidel methods , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward--backward splitting, and regularized Gauss--Seidel methods , volume =

Reference 12

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This paper cites Sharp analysis of stochastic optimization under global.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Sharp analysis of stochastic optimization under global

Reference 13

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This paper cites Convergence rates and approximation results for SGD and its continuous-time counterpart , year =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Convergence rates and approximation results for SGD and its continuous-time counterpart , year =

Reference 14

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This paper cites Efficiency of minimizing compositions of convex functions and smooth maps , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Efficiency of minimizing compositions of convex functions and smooth maps , volume =

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This paper cites The proximal point method revisited.

Restart and Adaptive Acceleration in Stochastic Gradient Methods The proximal point method revisited

Reference 16

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Observation 132ae4e3-5d78-4dca-9bc1-5f32f89e7e2d · outbound

This paper cites Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Stochastic subgradient method converges at the rate $O(k^{-1/4})$ on weakly convex functions

Reference 17

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This paper cites Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Understanding Gradient Orthogonalization for Deep Learning via Non-Euclidean Trust-Region Optimization

Reference 18

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This paper cites Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs).

Restart and Adaptive Acceleration in Stochastic Gradient Methods Gluon: Making Muon & Scion Great Again! (Bridging Theory and Practice of LMO-based Optimizers for LLMs)

Reference 19

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This paper cites PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python , volume =

Reference 20

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This paper cites Automated tight Lyapunov analysis for first-order methods , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Automated tight Lyapunov analysis for first-order methods , volume =

Reference 21

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This paper cites Frank-Wolfe meets Shapley-Folkman: a systematic approach for solving nonconvex separable problems with linear constraints.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Frank-Wolfe meets Shapley-Folkman: a systematic approach for solving nonconvex separable problems with linear constraints

Reference 22

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This paper cites Birthday paradox, coupon collectors, caching algorithms and self-organizing search , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Birthday paradox, coupon collectors, caching algorithms and self-organizing search , volume =

Reference 23

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This paper cites Global tracking and quantification of oil and gas methane emissions from recurrent sentinel-2 imagery , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Global tracking and quantification of oil and gas methane emissions from recurrent sentinel-2 imagery , volume =

Reference 24

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This paper cites Digital twinning of all forest and non-forest trees at national level via deep learning , year =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Digital twinning of all forest and non-forest trees at national level via deep learning , year =

Reference 25

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This paper cites High resolution assessment of coal mining methane emissions by satellite in Shanxi, China , year =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods High resolution assessment of coal mining methane emissions by satellite in Shanxi, China , year =

Reference 26

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This paper cites Stable bounds on the duality gap of separable nonconvex optimization problems , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Stable bounds on the duality gap of separable nonconvex optimization problems , volume =

Reference 27

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This paper cites arXiv preprint arXiv:2306.17470 , title =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods arXiv preprint arXiv:2306.17470 , title =

Reference 28

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Restart and Adaptive Acceleration in Stochastic Gradient Methods , bibtex_show =

Reference 29

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Performance estimation toolbox (PESTO): Automated worst-case analysis of first-order optimization methods , year =

Reference 30

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Restart and Adaptive Acceleration in Stochastic Gradient Methods and Drori, Yoel , bibtex_show =

Reference 31

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Restart and Adaptive Acceleration in Stochastic Gradient Methods and Taylor, Adrien B

Reference 32

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This paper cites Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Worst-case convergence analysis of inexact gradient and Newton methods through semidefinite programming performance estimation , volume =

Reference 33

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Exact worst-case convergence rates of the proximal gradient method for composite convex minimization , volume =

Reference 34

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Exact worst-case performance of first-order methods for composite convex optimization , volume =

Reference 35

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Restart and Adaptive Acceleration in Stochastic Gradient Methods On the worst-case complexity of the gradient method with exact line search for smooth strongly convex functions , volume =

Reference 36

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Smooth strongly convex interpolation and exact worst-case performance of first-order methods , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods and d'Aspremont, Alexandre and Bolte, J

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Truncated singular value decomposition solutions to discrete ill-posed problems with ill-determined numerical rank , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Finding structure with randomness: Probabilistic algorithms for constructing approximate matrix decompositions , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Naive feature selection: Sparsity in naive bayes , year =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Approximation Bounds for Sparse Programs

Reference 42

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Asymptotic behavior of products Cp= C+...+C in locally compact abelian groups , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Strong convexity of sets and functions , volume =

Reference 44

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Vector extrapolation methods with applications , year =

Reference 45

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Globally convergent type-I Anderson acceleration for nonsmooth fixed-point iterations , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Anderson acceleration of the alternating projections method for computing the nearest correlation matrix , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods MiKM: multi-step inertial Krasnoselskii--Mann algorithm and its applications , volume =

Reference 48

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Quasi-nonexpansive iterations on the affine hull of orbits: from Mann's mean value algorithm to inertial methods , volume =

Reference 49

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Chebyshev acceleration techniques for solving nonsymmetric eigenvalue problems , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Nearly optimal first-order methods for convex optimization under gradient norm measure: An adaptive regularization approach , year =

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This paper cites Numerical determination of fundamental modes , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Numerical determination of fundamental modes , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods How to make the gradients small , year =

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This paper cites A well-conditioned estimator for large-dimensional covariance matrices , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods A well-conditioned estimator for large-dimensional covariance matrices , volume =

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This paper cites Why are big data matrices approximately low rank? , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Why are big data matrices approximately low rank? , volume =

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This paper cites Stochastic algorithms with geometric step decay converge linearly on sharp functions.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Stochastic algorithms with geometric step decay converge linearly on sharp functions

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Observation 5f3e4b67-15b1-45ce-9882-4564d09f535e · outbound

This paper cites Iterative procedures for nonlinear integral equations , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Iterative procedures for nonlinear integral equations , volume =

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Convergence of Constrained Anderson Acceleration

Reference 58

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This paper cites Chebyshev polynomials , year =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Chebyshev polynomials , year =

Reference 59

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Hybrid deterministic-stochastic methods for data fitting , volume =

Reference 60

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Restart and Adaptive Acceleration in Stochastic Gradient Methods ECOS: An SOCP solver for embedded systems , year =

Reference 61

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Restart and Adaptive Acceleration in Stochastic Gradient Methods A Continous Exact _0 penalty (CEL0) for least squares regularized problem , volume =

Reference 62

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Sinkhorn distances: Lightspeed computation of optimal transport , year =

Reference 63

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Restart and Adaptive Acceleration in Stochastic Gradient Methods The use of entropy maximising models, in the theory of trip distribution, mode split and route split , year =

Reference 64

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Wasserstein barycenter and its application to texture mixing , year =

Reference 65

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Barycenters in the Wasserstein space , volume =

Reference 66

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Computational Optimal Transport: With Applications to Data Science , volume =

Reference 67

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Restart and Adaptive Acceleration in Stochastic Gradient Methods The global methane budget 2000--2017 , volume =

Reference 68

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Distributed algorithms via gradient descent for fisher markets , year =

Reference 69

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This paper cites Relatively smooth convex optimization by first-order methods, and applications , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Relatively smooth convex optimization by first-order methods, and applications , volume =

Reference 70

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Universal method for stochastic composite optimization problems , volume =

Reference 71

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This paper cites On Acceleration with Noise-Corrupted Gradients.

Restart and Adaptive Acceleration in Stochastic Gradient Methods On Acceleration with Noise-Corrupted Gradients

Reference 72

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This paper cites Strong and weak convexity of sets and functions , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Strong and weak convexity of sets and functions , volume =

Reference 73

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Restart and Adaptive Acceleration in Stochastic Gradient Methods R-convexity of the integral of set-valued functions , year =

Reference 74

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This paper cites Strongly convex analysis , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Strongly convex analysis , volume =

Reference 75

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Restart and Adaptive Acceleration in Stochastic Gradient Methods On strongly convex sets and strongly convex functions , volume =

Reference 76

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Exact post-selection inference, with application to the lasso , volume =

Reference 77

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Valid post-selection inference , volume =

Reference 78

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This paper cites Controlling the false discovery rate: a practical and powerful approach to multiple testing , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Controlling the false discovery rate: a practical and powerful approach to multiple testing , volume =

Reference 79

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Neighbourhood Retractions of Nonconvex Sets in a Hilbert Space via Sublinear Functionals , volume =

Reference 80

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Restart and Adaptive Acceleration in Stochastic Gradient Methods On the vector sum of two convex sets in space , volume =

Reference 81

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Strong and weak convexity of closed sets in a Hilbert space , year =

Reference 82

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Smoothing and first order methods: A unified framework , volume =

Reference 83

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Convex bodies: the Brunn--Minkowski theory , year =

Reference 84

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Restart and Adaptive Acceleration in Stochastic Gradient Methods First order methods beyond convexity and Lipschitz gradient continuity with applications to quadratic inverse problems , volume =

Reference 85

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Quartic First-Order Methods for Low-Rank Minimization

Reference 86

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This paper cites _0 penalized maximum likelihood for sparse directed acyclic graphs , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods _0 penalized maximum likelihood for sparse directed acyclic graphs , volume =

Reference 87

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Learning directed acyclic graph models based on sparsest permutations , volume =

Reference 88

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Some comments on Wolfe's ``away step'' , volume =

Reference 89

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Vanishing Price of Decentralization in Large Coordinative Nonconvex Optimization , volume =

Reference 90

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Restart and Adaptive Acceleration in Stochastic Gradient Methods A geometric framework for nonconvex optimization duality using augmented Lagrangian functions , volume =

Reference 91

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Updating the inverse of a matrix , volume =

Reference 92

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Panning for gold:`model-X'knockoffs for high dimensional controlled variable selection , volume =

Reference 93

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Controlling the false discovery rate via knockoffs , volume =

Reference 94

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This paper cites A knockoff filter for high-dimensional selective inference , volume =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods A knockoff filter for high-dimensional selective inference , volume =

Reference 95

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This paper cites Anderson Acceleration of Proximal Gradient Methods.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Anderson Acceleration of Proximal Gradient Methods

Reference 96

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:59:37.613846Z

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This paper cites Trajectory of alternating direction method of multipliers and adaptive acceleration , year =.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Trajectory of alternating direction method of multipliers and adaptive acceleration , year =

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This paper cites Anderson Accelerated Douglas-Rachford Splitting.

Restart and Adaptive Acceleration in Stochastic Gradient Methods Anderson Accelerated Douglas-Rachford Splitting

Reference 98

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Nonlinear acceleration of stochastic algorithms , year =

Reference 99

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Restart and Adaptive Acceleration in Stochastic Gradient Methods Regularized nonlinear acceleration , year =

Reference 100

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