Continuous Optimization

Variational Optimization on Lie Groups, with Examples of Leading (Generalized) Eigenvalue Problems AISTATS 2020 VRT-Net: Real-Time Scene Parsing via Variable Resolution Transform WACV 2020 Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization NeurIPS 2020 Wasserstein Style Transfer AISTATS 2020 What Does Plate Glass Reveal About Camera Calibration? CVPR 2020 Word Rotator’s Distance EMNLP 2020 A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019 Accelerated Alternating Projections for Robust Principal Component Analysis JMLR 2019 Accelerated Coordinate Descent with Arbitrary Sampling and Best Rates for Minibatches AISTATS 2019 Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives AISTATS 2019 Accelerated Flow for Probability Distributions ICML 2019 Accelerating Rescaled Gradient Descent: Fast Optimization of Smooth Functions NeurIPS 2019 Acceleration via Symplectic Discretization of High-Resolution Differential Equations NeurIPS 2019 Achieving the Bayes Error Rate in Stochastic Block Model by SDP, Robustly COLT 2019 A Closed-Form Solution to Universal Style Transfer ICCV 2019 A Composite Randomized Incremental Gradient Method ICML 2019 A Conditional-Gradient-Based Augmented Lagrangian Framework ICML 2019 Adaptation Based on Generalized Discrepancy JMLR 2019 A Differentiable Augmented Lagrangian Method for Bilevel Nonlinear Optimization RSS 2019 A Direct tilde{O}(1/epsilon) Iteration Parallel Algorithm for Optimal Transport NeurIPS 2019 A Dynamical System Approach to Motion and Force Generation in Contact Tasks RSS 2019 A Fast Proximal Point Method for Computing Exact Wasserstein Distance UAI 2019 A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NeurIPS 2019 A Generalized Language Model in Tensor Space AAAI 2019 A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019