constrained optimization

Escaping from zero gradient: Revisiting action-constrained reinforcement learning via Frank-Wolfe policy optimization UAI 2021 Fast Projection Onto Convex Smooth Constraints ICML 2021 Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics NeurIPS 2021 High Quality Disparity Remapping With Two-Stage Warping ICCV 2021 Implicit rate-constrained optimization of non-decomposable objectives ICML 2021 LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints AAAI 2021 Learning a Gradient-free Riemannian Optimizer on Tangent Spaces AAAI 2021 LIRA: Learnable, Imperceptible and Robust Backdoor Attacks ICCV 2021 Mirror Descent View for Neural Network Quantization AISTATS 2021 Model-Based Domain Generalization NeurIPS 2021 Multispectral Illumination Estimation Using Deep Unrolling Network ICCV 2021 Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration NeurIPS 2021 On a Utilitarian Approach to Privacy Preserving Text Generation NAACL 2021 Private optimization without constraint violations AISTATS 2021 Projection-Free Optimization on Uniformly Convex Sets AISTATS 2021 Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning CVPR 2021 Robust Reinforcement Learning: A Constrained Game-theoretic Approach L4DC 2021 Safe Driving via Expert Guided Policy Optimization CoRL 2021 Safe Reinforcement Learning Using Advantage-Based Intervention ICML 2021 Scalable Constrained Bayesian Optimization AISTATS 2021 Scalable Inference of Sparsely-changing Gaussian Markov Random Fields NeurIPS 2021 Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization JMLR 2021 Synchronization of Group-Labelled Multi-Graphs ICCV 2021 Teaching the Old Dog New Tricks: Supervised Learning with Constraints AAAI 2021 The ensmallen library for flexible numerical optimization JMLR 2021