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Optimization

1638 directly classified papers

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Papers

Robustly Learning a Single Neuron via Sharpness ICML 2023
LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning AAAI 2023
AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks AAAI 2023
User-Controllable Arbitrary Style Transfer via Entropy Regularization AAAI 2023
On Learning Rates and Schrödinger Operators JMLR 2023
On the Dynamics Under the Unhinged Loss and Beyond JMLR 2023
Fast Objective & Duality Gap Convergence for Non-Convex Strongly-Concave Min-Max Problems with PL Condition JMLR 2023
Global Convergence of Sub-gradient Method for Robust Matrix Recovery: Small Initialization, Noisy Measurements, and Over-parameterization JMLR 2023
Decentralized Learning: Theoretical Optimality and Practical Improvements JMLR 2023
An Inertial Block Majorization Minimization Framework for Nonsmooth Nonconvex Optimization JMLR 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization NIPS 2023
Towards Understanding Ensemble Distillation in Federated Learning ICML 2023
Fast, Differentiable and Sparse Top-k: a Convex Analysis Perspective ICML 2023
KDEformer: Accelerating Transformers via Kernel Density Estimation ICML 2023
A Learnable Radial Basis Positional Embedding for Coordinate-MLPs AAAI 2023
Combining Slow and Fast: Complementary Filtering for Dynamics Learning AAAI 2023
Rethinking Word-Level Auto-Completion in Computer-Aided Translation EMNLP 2023
High Probability Convergence of Stochastic Gradient Methods ICML 2023
OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic Models ICML 2023
On Enhancing Fine-Tuning for Pre-trained Language Models EMNLP 2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity ICML 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization EMNLP 2023
Dataset Distillation with Convexified Implicit Gradients ICML 2023
Optimal Shrinkage for Distributed Second-Order Optimization ICML 2023
Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023