Mathematics & Optimization

LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data JMLR 2022 LSB: Local Self-Balancing MCMC in Discrete Spaces ICML 2022 LTL on Weighted Finite Traces: Formal Foundations and Algorithms IJCAI 2022 Luckiness in Multiscale Online Learning NeurIPS 2022 Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022 LyaNet: A Lyapunov Framework for Training Neural ODEs ICML 2022 Lyapunov Density Models: Constraining Distribution Shift in Learning-Based Control ICML 2022 Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment AAAI 2022 Machine Learning for Online Algorithm Selection under Censored Feedback AAAI 2022 MAgNet: Mesh Agnostic Neural PDE Solver NeurIPS 2022 Manifold Interpolating Optimal-Transport Flows for Trajectory Inference NeurIPS 2022 Many processors, little time: MCMC for partitions via optimal transport couplings AISTATS 2022 MAPF-LNS2: Fast Repairing for Multi-Agent Path Finding via Large Neighborhood Search AAAI 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Marginal Tail-Adaptive Normalizing Flows ICML 2022 Markov Chain Monte Carlo for Continuous-Time Switching Dynamical Systems ICML 2022 Massively Parallel k-Means Clustering for Perturbation Resilient Instances ICML 2022 Matching in Multi-arm Bandit with Collision NeurIPS 2022 Matching Market Design with Constraints AAAI 2022 Matrix Completion with Covariate Information and Informative Missingness JMLR 2022 Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence NeurIPS 2022 Maximizing and Satisficing in Multi-armed Bandits with Graph Information NeurIPS 2022 Maximizing Nash Social Welfare in 2-Value Instances AAAI 2022 Maximizing Revenue under Market Shrinkage and Market Uncertainty NeurIPS 2022 Maximum Common Subgraph Guided Graph Retrieval: Late and Early Interaction Networks NeurIPS 2022