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Continuous Optimization

3,907 papers

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Papers

On the Riemannian Search for Eigenvector Computation JMLR 2021
POT: Python Optimal Transport JMLR 2021
Outlier-Robust Optimal Transport ICML 2021
Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021
A novel notion of barycenter for probability distributions based on optimal weak mass transport NIPS 2021
Learning to Learn Graph Topologies NIPS 2021
On efficient multilevel Clustering via Wasserstein distances JMLR 2021
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance CVPR 2021
Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021
Differentially Private Query Release Through Adaptive Projection ICML 2021
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds NIPS 2021
Differentiating the Value Function by using Convex Duality AISTATS 2021
Comparison of the Finite Element Method, the Multimodal Method and the Transmission-Line Model for the Computation of Vocal Tract Transfer Functions INTERSPEECH 2021
On ADMM in Deep Learning: Convergence and Saturation-Avoidance JMLR 2021
Bilinear Parameterization for Non-Separable Singular Value Penalties CVPR 2021
A Two-Level Decomposition Framework Exploiting First and Second Order Information for SVM Training Problems JMLR 2021
Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws AAAI 2021
Three Operator Splitting with a Nonconvex Loss Function ICML 2021
GO Hessian for Expectation-Based Objectives AAAI 2021
Langevin Monte Carlo: random coordinate descent and variance reduction JMLR 2021
Projection-free Online Learning in Dynamic Environments AAAI 2021
Localizing Changes in High-Dimensional Regression Models AISTATS 2021
Low-Rank Sinkhorn Factorization ICML 2021
Approximate Message Passing with Spectral Initialization for Generalized Linear Models AISTATS 2021
Heavy Ball Neural Ordinary Differential Equations NIPS 2021