linear program

Model predictive control is almost optimal for restless bandits COLT 2025 Optimal Transport for Probabilistic Circuits UAI 2025 The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control AISTATS 2025 Bisimulation Metrics are Optimal Transport Distances, and Can be Computed Efficiently NeurIPS 2024 Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better ICML 2024 Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions NeurIPS 2024 Data Poisoning to Fake a Nash Equilibria for Markov Games AAAI 2024 Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness ICML 2024 Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation ICML 2024 Robust Data-driven Prescriptiveness Optimization ICML 2024 Testing the Feasibility of Linear Programs with Bandit Feedback ICML 2024 Approximate Causal Effect Identification under Weak Confounding ICML 2023 Compositional Generalization without Trees using Multiset Tagging and Latent Permutations ACL 2023 On Representing Linear Programs by Graph Neural Networks ICLR 2023 Learning of Global Objective for Network Flow in Multi-Object Tracking CVPR 2022 Parameterized Algorithms for MILPs with Small Treedepth AAAI 2021 Statistically Consistent Saliency Estimation ICCV 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data CVPR 2020 Extrapolating the profile of a finite population COLT 2020 Faster saddle-point optimization for solving large-scale Markov decision processes L4DC 2020 Steady-State Policy Synthesis in Multichain Markov Decision Processes IJCAI 2020 Inverting Deep Generative models, One layer at a time NeurIPS 2019 Preference-Aware Task Assignment in On-Demand Taxi Dispatching: An Online Stable Matching Approach AAAI 2019 Sparse High-Dimensional Isotonic Regression NeurIPS 2019