Optimization

Consensus Maximization Tree Search Revisited ICCV 2019 Conservative Wasserstein Training for Pose Estimation ICCV 2019 Constrained Reinforcement Learning Has Zero Duality Gap NeurIPS 2019 Constraint Solving and Optimization Using Evolutionary Techniques IJCAI 2019 Content Authentication for Neural Imaging Pipelines: End-To-End Optimization of Photo Provenance in Complex Distribution Channels CVPR 2019 Continuous-time Models for Stochastic Optimization Algorithms NeurIPS 2019 Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective AISTATS 2019 Controlling Neural Networks via Energy Dissipation ICCV 2019 Control Regularization for Reduced Variance Reinforcement Learning ICML 2019 Convergence Analysis of Gradient-Based Learning in Continuous Games UAI 2019 Convergence Guarantees for a Class of Non-convex and Non-smooth Optimization Problems JMLR 2019 Convergence of Gradient Descent on Separable Data AISTATS 2019 Convergence-Rate-Matching Discretization of Accelerated Optimization Flows Through Opportunistic State-Triggered Control NeurIPS 2019 Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations JMLR 2019 Convergent Policy Optimization for Safe Reinforcement Learning NeurIPS 2019 Convex Formulations for Fair Principal Component Analysis AAAI 2019 Convex Relaxations for Consensus and Non-Minimal Problems in 3D Vision ICCV 2019 Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator ICCV 2019 Coresets for Archetypal Analysis NeurIPS 2019 Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine AAAI 2019 Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019 Correspondence Analysis Using Neural Networks AISTATS 2019 Cost-Sensitive Learning to Rank AAAI 2019 Coverage Centrality Maximization in Undirected Networks AAAI 2019 Crafting Efficient Neural Graph of Large Entropy IJCAI 2019