constrained optimization

Balancing Act: Constraining Disparate Impact in Sparse Models ICLR 2024 Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling AAAI 2024 Beyond Primal-Dual Methods in Bandits with Stochastic and Adversarial Constraints NeurIPS 2024 Computing Nash Equilibria in Potential Games with Private Uncoupled Constraints AAAI 2024 Confronting Reward Model Overoptimization with Constrained RLHF ICLR 2024 Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024 Constrained Binary Decision Making NeurIPS 2024 Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning NeurIPS 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Constrained Synthesis with Projected Diffusion Models NeurIPS 2024 Deterministic Policies for Constrained Reinforcement Learning in Polynomial Time NeurIPS 2024 Do no harm: A counterfactual approach to safe reinforcement learning L4DC 2024 E2E-AT: A Unified Framework for Tackling Uncertainty in Task-Aware End-to-End Learning AAAI 2024 Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization NeurIPS 2024 Fairness with Censorship: Bridging the Gap between Fairness Research and Real-World Deployment AAAI 2024 Fair Participation via Sequential Policies AAAI 2024 FedDA: Faster Adaptive Gradient Methods for Federated Constrained Optimization ICLR 2024 FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NeurIPS 2024 Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent NeurIPS 2024 Global Optimality for Non-linear Constrained Restoration Problems via Invexity ICLR 2024 Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning AAAI 2024 Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Constrained Optimization JMLR 2024 Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization AAAI 2024 Interpolating Item and User Fairness in Multi-Sided Recommendations NeurIPS 2024