Mathematics & Optimization

Least Squares Model Averaging for Distributed Data JMLR 2023 Legal Argument Extraction from Court Judgements using Integer Linear Programming EMNLP 2023 Let the Flows Tell: Solving Graph Combinatorial Problems with GFlowNets NeurIPS 2023 Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression NeurIPS 2023 Levin Tree Search with Context Models IJCAI 2023 Lie Point Symmetry and Physics-Informed Networks NeurIPS 2023 Lifted Inference with Linear Order Axiom AAAI 2023 Lifting (D)QBF Preprocessing and Solving Techniques to (D)SSAT AAAI 2023 Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare IJCAI 2023 Limits of Dense Simplicial Complexes JMLR 2023 Linear Causal Disentanglement via Interventions ICML 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Linear optimal partial transport embedding ICML 2023 Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023 Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint IJCAI 2023 Linear Regularizers Enforce the Strict Saddle Property AAAI 2023 Linear Stochastic Bandits over a Bit-Constrained Channel L4DC 2023 Linear Time Algorithms for k-means with Multi-Swap Local Search NeurIPS 2023 Linear-Time Modeling of Linguistic Structure: An Order-Theoretic Perspective EMNLP 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023 Live Graph Lab: Towards Open, Dynamic and Real Transaction Graphs with NFT NeurIPS 2023 Local Connectivity-Based Density Estimation for Face Clustering CVPR 2023 Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices NeurIPS 2023 Local Dependence Graphs for Discrete Time Processes CLeaR 2023