Mathematics & Optimization

Learning and Planning under Uncertainty for Conservation Decisions AAAI 2023 Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints AAAI 2023 Learning-Augmented Algorithms for Online TSP on the Line AAAI 2023 Learning Control-Oriented Dynamical Structure from Data ICML 2023 Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares CVPR 2023 Learning Curves for Deep Structured Gaussian Feature Models NeurIPS 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 Learning Cuts via Enumeration Oracles NeurIPS 2023 Learning differentiable solvers for systems with hard constraints ICLR 2023 Learning Distributions over Quantum Measurement Outcomes ICML 2023 Learning Exponential Families from Truncated Samples NeurIPS 2023 Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023 Learning Fractals by Gradient Descent AAAI 2023 Learning Functional Distributions with Private Labels ICML 2023 Learning Globally Smooth Functions on Manifolds ICML 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023 Learning in online MDPs: is there a price for handling the communicating case? UAI 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator CVPR 2023 Learning k-qubit Quantum Operators via Pauli Decomposition AISTATS 2023 Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition NeurIPS 2023 Learning Mixtures of Gaussians with Censored Data ICML 2023 Learning Mixtures of Markov Chains and MDPs ICML 2023 Learning Narrow One-Hidden-Layer ReLU Networks COLT 2023