Optimization

An Algorithmic Framework for the Optimization of Deep Neural Networks Architectures and Hyperparameters JMLR 2024 An Algorithm with Optimal Dimension-Dependence for Zero-Order Nonsmooth Nonconvex Stochastic Optimization JMLR 2024 Analysis for Abductive Learning and Neural-Symbolic Reasoning Shortcuts ICML 2024 Analysis of Kernel Mirror Prox for Measure Optimization AISTATS 2024 An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment ICLR 2024 An Archive Can Bring Provable Speed-ups in Multi-Objective Evolutionary Algorithms IJCAI 2024 An Automatic Prompt Generation System for Tabular Data Tasks NAACL 2024 An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes AAAI 2024 A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering ICML 2024 A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness ICML 2024 A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise NeurIPS 2024 An Effective Dynamic Gradient Calibration Method for Continual Learning ICML 2024 An Effective Polynomial Technique for Compiling Conditional Effects Away AAAI 2024 An Efficient High-dimensional Gradient Estimator for Stochastic Differential Equations NeurIPS 2024 An Efficient Recipe for Long Context Extension via Middle-Focused Positional Encoding NeurIPS 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 An Embedding Framework for the Design and Analysis of Consistent Polyhedral Surrogates JMLR 2024 An Equivalence Between Static and Dynamic Regret Minimization NeurIPS 2024 A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints IJCAI 2024 A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data ICML 2024 A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NeurIPS 2024 A New Branch-and-Bound Pruning Framework for ℓ_0-Regularized Problems ICML 2024 A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces ICML 2024 A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization ICML 2024 A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024