conftrace_

constrained optimization

281 papers

Explore in graph

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

Contextual Bandits with Stage-wise Constraints JMLR 2025
Constrained Non-negative Matrix Factorization for Guided Topic Modeling of Minority Topics EMNLP 2025
Large Language Models Can Solve Real-World Planning Rigorously with Formal Verification Tools NAACL 2025
Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025
On the Power of Optimism in Constrained Online Convex Optimization IJCAI 2025
Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Learning to Solve the Constrained Most Probable Explanation Task in Probabilistic Graphical Models AISTATS 2024
Task-Driven Wavelets using Constrained Empirical Risk Minimization CVPR 2024
Long-Term Safe Reinforcement Learning with Binary Feedback AAAI 2024
Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control RSS 2024
POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning CVPR 2024
Resilient Constrained Reinforcement Learning AISTATS 2024
Multi-agent assignment via state augmented reinforcement learning L4DC 2024
Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024
Constrained Binary Decision Making NIPS 2024
Do no harm: A counterfactual approach to safe reinforcement learning L4DC 2024
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths AAAI 2024
Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints NIPS 2024
Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024
Providing Fair Recourse over Plausible Groups AAAI 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization AAAI 2024
Preference-Aware Constrained Multi-Objective Bayesian Optimization (Student Abstract) AAAI 2024
Learning Diffusions under Uncertainty AAAI 2024
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents AAAI 2024
Constrained Synthesis with Projected Diffusion Models NIPS 2024