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Optimization

1203 directly classified papers

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Papers

InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization CVPR 2024
FairWASP: Fast and Optimal Fair Wasserstein Pre-processing AAAI 2024
Identification of Analytic Nonlinear Dynamical Systems with Non-asymptotic Guarantees NIPS 2024
Optimal Transport with Tempered Exponential Measures AAAI 2024
A two-scale Complexity Measure for Deep Learning Models NIPS 2024
Kernelized Normalizing Constant Estimation: Bridging Bayesian Quadrature and Bayesian Optimization AAAI 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Stochastic Frank-Wolfe: Unified Analysis and Zoo of Special Cases AISTATS 2024
Policy Mirror Descent with Lookahead NIPS 2024
Parameter-Agnostic Optimization under Relaxed Smoothness AISTATS 2024
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut NIPS 2024
Iterative Regularization with k-support Norm: An Important Complement to Sparse Recovery AAAI 2024
Time-Constrained Robust MDPs NIPS 2024
Training-Free Quantum Architecture Search AAAI 2024
Achieving Tractable Minimax Optimal Regret in Average Reward MDPs NIPS 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams AAAI 2024
Component Fourier Neural Operator for Singularly Perturbed Differential Equations AAAI 2024
Generalized Eigenvalue Problems with Generative Priors NIPS 2024
Are You Concerned about Limited Function Evaluations: Data-Augmented Pareto Set Learning for Expensive Multi-Objective Optimization AAAI 2024
The Challenges of the Nonlinear Regime for Physics-Informed Neural Networks NIPS 2024
A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024
A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $\Theta(T^{2/3})$ and its Application to Best-of-Both-Worlds NIPS 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024