conftrace_

constrained optimization

281 papers

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Also known as

CO

Co-occurring keywords

policy optimization (657) stochastic optimization (1060) convex optimization (1321) constraint satisfaction (294) regret bound (1926) bayesian optimization (624) safe reinforcement learning (120) fairness constraint (125) neural network (6616) nonconvex optimization (316)

Papers

Neurosymbolic Deep Generative Models for Sequence Data with Relational Constraints NIPS 2022
Unsupervised Visual Representation Learning by Online Constrained K-Means CVPR 2022
Achieving Long-Term Fairness in Sequential Decision Making AAAI 2022
A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback AAAI 2022
Towards Principled Disentanglement for Domain Generalization CVPR 2022
Optimization for Classical Machine Learning Problems on the GPU AAAI 2022
Proactive slip control by learned slip model and trajectory adaptation CORL 2022
Exploring Safer Behaviors for Deep Reinforcement Learning AAAI 2022
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks ICML 2022
CCCP is Frank-Wolfe in disguise NIPS 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning AISTATS 2022
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems JMLR 2022
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Gradient-Free Method for Heavily Constrained Nonconvex Optimization ICML 2022
Sequential and Parallel Constrained Max-value Entropy Search via Information Lower Bound ICML 2022
Training OOD Detectors in their Natural Habitats ICML 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space IJCAI 2022
Optimal Training of Fair Predictive Models CLEAR 2022
Constrained Stochastic Nonconvex Optimization with State-dependent Markov Data NIPS 2022
Environment Design for Biased Decision Makers IJCAI 2022
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NIPS 2022
Controlled Sparsity via Constrained Optimization or: How I Learned to Stop Tuning Penalties and Love Constraints NIPS 2022
Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings ICML 2022
Optimal control of partially observable Markov decision processes with finite linear temporal logic constraints UAI 2022
Constraint-based Multi-hop Question Answering with Knowledge Graph NAACL 2022