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Optimization

1203 directly classified papers

Papers per year

Papers

Black-Box Methods for Restoring Monotonicity ICML 2020
Inverse Rectification for Efficient Procam Pattern Correspondence WACV 2020
Virtual Reference Feedback Tuning with data-driven reference model selection L4DC 2020
Exploiting Model Sparsity in Adaptive MPC: A Compressed Sensing Viewpoint L4DC 2020
First-Order Methods for Large-Scale Market Equilibrium Computation NIPS 2020
Stable Intrinsic Auto-Calibration from Fundamental Matrices of Devices with Uncorrelated Camera Parameters WACV 2020
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020
Bundle Adjustment on a Graph Processor CVPR 2020
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator CVPR 2020
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos CVPR 2020
Correspondence-Free Material Reconstruction using Sparse Surface Constraints CVPR 2020
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020
Auto-Tuning Structured Light by Optical Stochastic Gradient Descent CVPR 2020
Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020
Minimizing Discrete Total Curvature for Image Processing CVPR 2020
Optimal least-squares solution to the hand-eye calibration problem CVPR 2020
Data-driven distributionally robust LQR with multiplicative noise L4DC 2020
Riccati updates for online linear quadratic control L4DC 2020
Fitting a Linear Control Policy to Demonstrations with a Kalman Constraint L4DC 2020
Regression under Human Assistance AAAI 2020
On Performance Estimation in Automatic Algorithm Configuration AAAI 2020
Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization AAAI 2020
FourierSAT: A Fourier Expansion-Based Algebraic Framework for Solving Hybrid Boolean Constraints AAAI 2020
Modelling and Solving Online Optimisation Problems AAAI 2020
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction AAAI 2020