Mathematics & Optimization

Constrained Diffusion with Trust Sampling NeurIPS 2024 Constrained Layout Generation with Factor Graphs CVPR 2024 Constrained Meta-Reinforcement Learning for Adaptable Safety Guarantee with Differentiable Convex Programming AAAI 2024 Constrained Sampling with Primal-Dual Langevin Monte Carlo NeurIPS 2024 Constrained Synthesis with Projected Diffusion Models NeurIPS 2024 Constraint-Free Structure Learning with Smooth Acyclic Orientations ICLR 2024 Constructive Interpolation and Concept-Based Beth Definability for Description Logics via Sequents IJCAI 2024 Content Filtering with Inattentive Information Consumers AAAI 2024 Contextual Bandits with Budgeted Information Reveal AISTATS 2024 Contextual Bandits with Packing and Covering Constraints: A Modular Lagrangian Approach via Regression JMLR 2024 Contextual Decision-Making with Knapsacks Beyond the Worst Case NeurIPS 2024 Contextual Directed Acyclic Graphs AISTATS 2024 Contextual Linear Optimization with Bandit Feedback NeurIPS 2024 Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Contextual Pandora’s Box AAAI 2024 Continual Counting with Gradual Privacy Expiration NeurIPS 2024 Continuous Partitioning for Graph-Based Semi-Supervised Learning NeurIPS 2024 Continuous Prediction with Experts' Advice JMLR 2024 Continuous-Time Graph Representation with Sequential Survival Process AAAI 2024 Contracting with a Learning Agent NeurIPS 2024 Contraction of Markovian Operators in Orlicz Spaces and Error Bounds for Markov Chain Monte Carlo (Extended Abstract) COLT 2024 Contract Scheduling with Distributional and Multiple Advice IJCAI 2024 Contrasting Multiple Representations with the Multi-Marginal Matching Gap ICML 2024 Contrastive dimension reduction: when and how? NeurIPS 2024 Contrastive General Graph Matching with Adaptive Augmentation Sampling IJCAI 2024