constrained optimization

Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints UAI 2022 Optimal Training of Fair Predictive Models CLeaR 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Proactive slip control by learned slip model and trajectory adaptation CoRL 2022 Redeeming intrinsic rewards via constrained optimization NeurIPS 2022 Revisiting Document Image Dewarping by Grid Regularization CVPR 2022 Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022 SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation ICLR 2022 Towards Principled Disentanglement for Domain Generalization CVPR 2022 Training OOD Detectors in their Natural Habitats ICML 2022 Unsupervised Visual Representation Learning by Online Constrained K-Means CVPR 2022 Adaptive Gradient Methods for Constrained Convex Optimization and Variational Inequalities AAAI 2021 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 Amortized Synthesis of Constrained Configurations Using a Differentiable Surrogate NeurIPS 2021 An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NeurIPS 2021 A Nonmyopic Approach to Cost-Constrained Bayesian Optimization UAI 2021 Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach NeurIPS 2021 CBP: backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method NeurIPS 2021 Constrained Optimization to Train Neural Networks on Critical and Under-Represented Classes NeurIPS 2021 Convergence of adaptive algorithms for constrained weakly convex optimization NeurIPS 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Deep Conservation: A Latent-Dynamics Model for Exact Satisfaction of Physical Conservation Laws AAAI 2021 Deterministic Mini-batch Sequencing for Training Deep Neural Networks AAAI 2021 Efficient methods for Gaussian Markov random fields under sparse linear constraints NeurIPS 2021 End-to-End Constrained Optimization Learning: A Survey IJCAI 2021