conftrace_

gradient descent

1144 papers

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Also known as

GD

Co-occurring keywords

neural network (6616) neural network optimization (1293) convex optimization (1321) non-convex optimization (547) convergence rate (607) stochastic optimization (1060) convergence analysis (395) stochastic gradient descent (1091) nonconvex optimization (316) implicit bia (107)

Papers

Meta-Learning with Adjoint Methods AISTATS 2023
Approximate Regions of Attraction in Learning with Decision-Dependent Distributions AISTATS 2023
Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023
On Penalty-based Bilevel Gradient Descent Method ICML 2023
Gradient Flossing: Improving Gradient Descent through Dynamic Control of Jacobians NIPS 2023
Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond AISTATS 2023
Optimizing ROC Curves with a Sort-Based Surrogate Loss for Binary Classification and Changepoint Detection JMLR 2023
Linear Convergence of Gradient Descent For Finite Width Over-parametrized Linear Networks With General Initialization AISTATS 2023
Global Convergence of Over-parameterized Deep Equilibrium Models AISTATS 2023
Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023
A Unified Approach to Controlling Implicit Regularization via Mirror Descent JMLR 2023
Sensitivity-Free Gradient Descent Algorithms JMLR 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity AISTATS 2023
Multiplayer Performative Prediction: Learning in Decision-Dependent Games JMLR 2023
Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023
Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023
Unlearning Bias in Language Models by Partitioning Gradients ACL 2023
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs NIPS 2023
Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold COLT 2023
Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023
Mean Estimation of Truncated Mixtures of Two Gaussians: A Gradient Based Approach AAAI 2023
Landscape Learning for Neural Network Inversion ICCV 2023
Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction ICCV 2023