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Continuous Optimization

3907 directly classified papers

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Papers

SG-PALM: a Fast Physically Interpretable Tensor Graphical Model ICML 2021
Deep Generative Learning via Schrödinger Bridge ICML 2021
ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021
An exact solver for the Weston-Watkins SVM subproblem ICML 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation INTERSPEECH 2021
Sound Source Localization with Majorization Minimization INTERSPEECH 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
Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget INTERSPEECH 2021
LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints AAAI 2021
Why Do Attributes Propagate in Graph Convolutional Neural Networks? AAAI 2021
Vocabulary Learning via Optimal Transport for Neural Machine Translation IJCNLP 2021
Fast PCA in 1-D Wasserstein Spaces via B-splines Representation and Metric Projection AAAI 2021
Complete Dictionary Learning via L4-Norm Maximization over the Orthogonal Group JMLR 2020
Distributionally Ambiguous Optimization for Batch Bayesian Optimization JMLR 2020
A Data Efficient and Feasible Level Set Method for Stochastic Convex Optimization with Expectation Constraints JMLR 2020
Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization JMLR 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020
On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent JMLR 2020
The Maximum Separation Subspace in Sufficient Dimension Reduction with Categorical Response JMLR 2020
A Unified Framework for Structured Graph Learning via Spectral Constraints JMLR 2020
High-Dimensional Interactions Detection with Sparse Principal Hessian Matrix JMLR 2020
Lower Bounds for Parallel and Randomized Convex Optimization JMLR 2020
Universal Latent Space Model Fitting for Large Networks with Edge Covariates JMLR 2020