Mathematics & Optimization

Langevin Monte Carlo for Contextual Bandits ICML 2022 Language modeling via stochastic processes ICLR 2022 Laplacian Constrained Precision Matrix Estimation: Existence and High Dimensional Consistency AISTATS 2022 Large Neighborhood Search with Decision Diagrams IJCAI 2022 Large Neighbourhood Search for Anytime MaxSAT Solving IJCAI 2022 Large-Neighbourhood Search for Optimisation in Answer-Set Solving AAAI 2022 Large-Scale Graph Neural Architecture Search ICML 2022 Large-scale Optimization of Partial AUC in a Range of False Positive Rates NeurIPS 2022 Lattice-Based Methods Surpass Sum-of-Squares in Clustering COLT 2022 Lazy and Fast Greedy MAP Inference for Determinantal Point Process NeurIPS 2022 Learning and Covering Sums of Independent Random Variables with Unbounded Support NeurIPS 2022 Learning-Augmented Algorithms for Online Linear and Semidefinite Programming NeurIPS 2022 Learning-Augmented Algorithms for Online Steiner Tree AAAI 2022 Learning-based Optimisation of Particle Accelerators Under Partial Observability Without Real-World Training ICML 2022 Learning Bayesian Networks in the Presence of Structural Side Information AAAI 2022 Learning Bipartite Graphs: Heavy Tails and Multiple Components NeurIPS 2022 Learning Chaotic Dynamics in Dissipative Systems NeurIPS 2022 Learning Cluster Causal Diagrams: An Information-Theoretic Approach IJCAI 2022 Learning Competitive Equilibria in Exchange Economies with Bandit Feedback AISTATS 2022 Learning Continuous Graph Structure with Bilevel Programming for Graph Neural Networks IJCAI 2022 Learning Distributed Channel Access Policies for Networked Estimation: Data-driven Optimization in the Mean-field Regime L4DC 2022 Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks ICML 2022 Learning-Enabled Robust Control with Noisy Measurements L4DC 2022 Learning Fractional White Noises in Neural Stochastic Differential Equations NeurIPS 2022 Learning from a Learning User for Optimal Recommendations ICML 2022