gradient descent

Sensitivity-Free Gradient Descent Algorithms JMLR 2023 Sequential Gradient Descent and Quasi-Newton’s Method for Change-Point Analysis AISTATS 2023 Shielded Representations: Protecting Sensitive Attributes Through Iterative Gradient-Based Projection ACL 2023 SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning NeurIPS 2023 Small batch deep reinforcement learning NeurIPS 2023 Sparse GCA and Thresholded Gradient Descent JMLR 2023 Spurious Valleys and Clustering Behavior of Neural Networks ICML 2023 STay-ON-the-Ridge: Guaranteed Convergence to Local Minimax Equilibrium in Nonconvex-Nonconcave Games COLT 2023 SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search WACV 2023 Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions AAAI 2023 SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions NeurIPS 2023 T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization NeurIPS 2023 Target-based Surrogates for Stochastic Optimization ICML 2023 The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks COLT 2023 The Influence of Learning Rule on Representation Dynamics in Wide Neural Networks ICLR 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NeurIPS 2023 Tight Risk Bounds for Gradient Descent on Separable Data NeurIPS 2023 Towards Data-Algorithm Dependent Generalization: a Case Study on Overparameterized Linear Regression NeurIPS 2023 Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation ICLR 2023 Training shallow ReLU networks on noisy data using hinge loss: when do we overfit and is it benign? NeurIPS 2023 Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory NeurIPS 2023 Transformers Learn In-Context by Gradient Descent ICML 2023 Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery NeurIPS 2023 Understanding Edge-of-Stability Training Dynamics with a Minimalist Example ICLR 2023 Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing ICML 2023