Optimization

Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions NeurIPS 2020 Optimal least-squares solution to the hand-eye calibration problem CVPR 2020 Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems IJCAI 2020 Optimal Randomized First-Order Methods for Least-Squares Problems ICML 2020 Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities NeurIPS 2020 Optimistic robust linear quadratic dual control L4DC 2020 Planning with General Objective Functions: Going Beyond Total Rewards NeurIPS 2020 Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020 Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Practical Frank–Wolfe Method with Decision Diagrams for Computing Wardrop Equilibrium of Combinatorial Congestion Games AAAI 2020 Projection Efficient Subgradient Method and Optimal Nonsmooth Frank-Wolfe Method NeurIPS 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020 QR-code Reconstruction from Event Data via Optimization in Code Subspace WACV 2020 Randomised Gaussian Process Upper Confidence Bound for Bayesian Optimisation IJCAI 2020 Regression under Human Assistance AAAI 2020 Regret Bound for Safe Gaussian Process Bandit Optimization L4DC 2020 Revisiting Stochastic Extragradient AISTATS 2020 Riccati updates for online linear quadratic control L4DC 2020 Robust Density Estimation under Besov IPM Losses NeurIPS 2020 Robust Homography Estimation via Dual Principal Component Pursuit CVPR 2020 Robust Template-Based Non-Rigid Motion Tracking Using Local Coordinate Regularization WACV 2020 Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020 Safe non-smooth black-box optimization with application to policy search L4DC 2020 Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining NeurIPS 2020