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Continuous Optimization

3,907 papers

Papers per year

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38
155
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Papers

Spectral Approximate Inference ICML 2019
Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019
Learning Weighted Top-$k$ Support Vector Machine ACML 2019
A unified variance-reduced accelerated gradient method for convex optimization NIPS 2019
Differentiable Convex Optimization Layers NIPS 2019
Screening Sinkhorn Algorithm for Regularized Optimal Transport NIPS 2019
An Efficient Two Step Algorithm for High Dimensional Change Point Regression Models Without Grid Search JMLR 2019
Block Coordinate Regularization by Denoising NIPS 2019
Fast Algorithms for Sparse Reduced-Rank Regression AISTATS 2019
Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019
Toward Efficient Navigation of Massive-Scale Geo-Textual Streams IJCAI 2019
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences AISTATS 2019
Generalized Majorization-Minimization ICML 2019
A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019
Causes and Corrections for Bimodal Multi-Path Scanning With Structured Light CVPR 2019
Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging ICCV 2019
Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019
Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty ICCV 2019
Energy-efficient Path Planning for Ground Robots by and Combining Air and Ground Measurements CORL 2019
Power k-Means Clustering ICML 2019
Faster First-Order Methods for Stochastic Non-Convex Optimization on Riemannian Manifolds AISTATS 2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections NIPS 2019
Efficient Full-Matrix Adaptive Regularization ICML 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019