Mathematics & Optimization

Learning-Based Algorithms for Graph Searching Problems AISTATS 2024 Learning-based rigid tube model predictive control L4DC 2024 Learning Cartesian Product Graphs with Laplacian Constraints AISTATS 2024 Learning Coalition Structures with Games AAAI 2024 Learning Cut Generating Functions for Integer Programming NeurIPS 2024 Learning Decision Trees and Forests with Algorithmic Recourse ICML 2024 Learning diffusion at lightspeed NeurIPS 2024 Learning Diffusions under Uncertainty AAAI 2024 Learning Discretized Neural Networks under Ricci Flow JMLR 2024 Learning Distributions on Manifolds with Free-Form Flows NeurIPS 2024 Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation ICML 2024 Learning Elastic Costs to Shape Monge Displacements NeurIPS 2024 Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret AAAI 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning Fair Division from Bandit Feedback AISTATS 2024 Learning from many trajectories JMLR 2024 Learning from Snapshots of Discrete and Continuous Data Streams NeurIPS 2024 Learning from Streaming Data when Users Choose ICML 2024 Learning Infinitesimal Generators of Continuous Symmetries from Data NeurIPS 2024 Learning in Markov Games with Adaptive Adversaries: Policy Regret, Fundamental Barriers, and Efficient Algorithms NeurIPS 2024 Learning in Online Principal-Agent Interactions: The Power of Menus AAAI 2024 Learning Iterative Reasoning through Energy Diffusion ICML 2024 Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds ICML 2024 Learning Low-Rank Tensor Cores with Probabilistic ℓ0-Regularized Rank Selection for Model Compression IJCAI 2024 Learning Macroscopic Dynamics from Partial Microscopic Observations NeurIPS 2024