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Continuous Optimization

3907 directly classified papers

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Papers

Defending with Shared Resources on a Network AAAI 2020
Robust Market Equilibria with Uncertain Preferences AAAI 2020
Query Answering with Guarded Existential Rules under Stable Model Semantics AAAI 2020
Exact and Efficient Inference for Collective Flow Diffusion Model via Minimum Convex Cost Flow Algorithm AAAI 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020
A General Approach to Fairness with Optimal Transport AAAI 2020
Automated Spectral Kernel Learning AAAI 2020
Stochastic Approximate Gradient Descent via the Langevin Algorithm AAAI 2020
Complete Dictionary Learning via $\ell_p$-norm Maximization UAI 2020
Sparseness-Aware DOA Estimation with Majorization Minimization INTERSPEECH 2020
IPO: Interior-Point Policy Optimization under Constraints AAAI 2020
Learning Dynamical Systems with Side Information L4DC 2020
Parameter Optimization for Learning-based Control of Control-Affine Systems L4DC 2020
Word Rotator’s Distance EMNLP 2020
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos CVPR 2020
Deep Implicit Volume Compression CVPR 2020
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020
Minimizing Discrete Total Curvature for Image Processing CVPR 2020
The Statistical Complexity of Early-Stopped Mirror Descent NIPS 2020
Variance Reduction via Accelerated Dual Averaging for Finite-Sum Optimization NIPS 2020
Sinkhorn Barycenter via Functional Gradient Descent NIPS 2020
Global Convergence and Variance Reduction for a Class of Nonconvex-Nonconcave Minimax Problems NIPS 2020
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence NIPS 2020
Online Optimization with Memory and Competitive Control NIPS 2020
Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NIPS 2020