Mathematics & Optimization

LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NeurIPS 2024 Lifelong Event Detection via Optimal Transport EMNLP 2024 Lifted Planning: Recent Advances in Planning Using First-Order Representations IJCAI 2024 Light-MILPopt: Solving Large-scale Mixed Integer Linear Programs with Lightweight Optimizer and Small-scale Training Dataset ICLR 2024 Light Unbalanced Optimal Transport NeurIPS 2024 Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging AAAI 2024 Limited Query Graph Connectivity Test AAAI 2024 Limits of Approximating the Median Treatment Effect COLT 2024 Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Linear Time Approximation Algorithm for Column Subset Selection with Local Search NeurIPS 2024 Linear-time Differential Inverse Kinematics: an Augmented Lagrangian Perspective RSS 2024 Linear-Time Optimal Deadlock Detection for Efficient Scheduling in Multi-Track Railway Networks IJCAI 2024 Local and Adaptive Mirror Descents in Extensive-Form Games NeurIPS 2024 Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit NeurIPS 2024 Local Composite Saddle Point Optimization ICLR 2024 Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis CVPR 2024 Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs NeurIPS 2024 Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy ICML 2024 Locally Private and Robust Multi-Armed Bandits NeurIPS 2024 Locally Rainbow Paths AAAI 2024 Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning JMLR 2024 Log-concave Sampling from a Convex Body with a Barrier: a Robust and Unified Dikin Walk NeurIPS 2024 Logistic Regression Under Network Dependence JMLR 2024 Lookback Prophet Inequalities NeurIPS 2024