gradient descent

Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis AAAI 2026 Approximation-Free Differentiable Oblique Decision Trees JMLR 2026 Area-Optimal Control Strategies for Heterogeneous Multi-Agent Pursuit AAAI 2026 AT-Field: Rethinking the Games in Adversarial Training AAAI 2026 Autonomous Vehicle Path Planning by Searching with Differentiable Simulation AAAI 2026 CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent EACL 2026 Computing Lewis weights to high precision using local relative smoothness COLT 2026 Differentiable Causal Search CLeaR 2026 Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias AAAI 2026 Geminet: Learning the Duality-based Topology-Agnostic Update Operator for Lightweight Traffic Engineering in Changing Topologies NSDI 2026 High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026 How Does the ReLU Activation Affect the Implicit Bias of Gradient Descent on High-dimensional Neural Network Regression? COLT 2026 Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings AAAI 2026 Minimax Optimal Convergence of Gradient Descent in Logistic Regression via Large and Adaptive Stepsizes JMLR 2026 On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning ALT 2026 Open Problem: How much overparametrization is needed for ALS in tensor decomposition? COLT 2026 Optimization and Generalization of Gradient Descent for Shallow ReLU Networks with Minimal Width JMLR 2026 Recursive Fréchet Mean Estimation UAI 2026 Reparameterized Complex-valued Neurons Can Efficiently Learn More than Real-valued Neurons via Gradient Descent JMLR 2026 Rigorous Asymptotics for First-Order Algorithms Through the Dynamical Cavity Method COLT 2026 Spectrally Adaptive Channel-aware Unrolling Network for Compressed Sensing AAAI 2026 Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension COLT 2026 Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation AAAI 2026 Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026 Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026