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Continuous Optimization

3907 directly classified papers

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Papers

A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family JMLR 2021
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021
Histogram Transform Ensembles for Large-scale Regression JMLR 2021
A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021
Towards a Unified Analysis of Random Fourier Features JMLR 2021
Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021
A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding JMLR 2021
An algorithmic view of L2 regularization and some path-following algorithms JMLR 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021
A Unified Convergence Analysis for Shuffling-Type Gradient Methods JMLR 2021
Representer Theorems in Banach Spaces: Minimum Norm Interpolation, Regularized Learning and Semi-Discrete Inverse Problems JMLR 2021
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature JMLR 2021
On lp-hyperparameter Learning via Bilevel Nonsmooth Optimization JMLR 2021
On the Riemannian Search for Eigenvector Computation JMLR 2021
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Nonparametric Continuous Sensor Registration JMLR 2021
A Theory of the Risk for Optimization with Relaxation and its Application to Support Vector Machines JMLR 2021
On Universal Approximation and Error Bounds for Fourier Neural Operators JMLR 2021
Preconditioned Gradient Descent for Over-Parameterized Nonconvex Matrix Factorization NIPS 2021
The ensmallen library for flexible numerical optimization JMLR 2021
On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021
Machine learning structure preserving brackets for forecasting irreversible processes NIPS 2021
Parameter Inference with Bifurcation Diagrams NIPS 2021