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Optimization

1203 directly classified papers

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Papers

Generalized Fast Exact Conformalization NIPS 2024
Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NIPS 2024
Optimization Can Learn Johnson Lindenstrauss Embeddings NIPS 2024
Random Smoothing Regularization in Kernel Gradient Descent Learning JMLR 2024
Optimal Transport with Cyclic Symmetry AAAI 2024
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs NIPS 2024
The Sample Complexity of Gradient Descent in Stochastic Convex Optimization NIPS 2024
On Efficient and Scalable Computation of the Nonparametric Maximum Likelihood Estimator in Mixture Models JMLR 2024
Conformal Inverse Optimization NIPS 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
Atomic Recovery Property for Multi-view Subspace-Preserving Recovery IJCAI 2024
Abstract Action Scheduling for Optimal Temporal Planning via OMT AAAI 2024
Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024
Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression JMLR 2024
On the Computational and Statistical Complexity of Over-parameterized Matrix Sensing JMLR 2024
Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NIPS 2024
Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023
End-to-End Learning for Stochastic Optimization: A Bayesian Perspective ICML 2023
Gradient Descent in Neural Networks as Sequential Learning in Reproducing Kernel Banach Space ICML 2023
Optimistic Planning by Regularized Dynamic Programming ICML 2023
PFNs4BO: In-Context Learning for Bayesian Optimization ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023