Mathematics & Optimization

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence NeurIPS 2023 Decentralized Randomly Distributed Multi-agent Multi-armed Bandit with Heterogeneous Rewards NeurIPS 2023 Decentralized Riemannian Algorithm for Nonconvex Minimax Problems AAAI 2023 Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023 Decipherment of Lost Ancient Scripts as Combinatorial Optimisation Using Coupled Simulated Annealing ACL 2023 DeepACO: Neural-enhanced Ant Systems for Combinatorial Optimization NeurIPS 2023 Deep Equilibrium Based Neural Operators for Steady-State PDEs NeurIPS 2023 Deep Generative Symbolic Regression with Monte-Carlo-Tree-Search ICML 2023 Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023 Deep Graph Structural Infomax AAAI 2023 Deep Latent Regularity Network for Modeling Stochastic Partial Differential Equations AAAI 2023 Deep Learning of Partial Graph Matching via Differentiable Top-K CVPR 2023 Deep learning with kernels through RKHM and the Perron-Frobenius operator NeurIPS 2023 DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization CVPR 2023 Deep Momentum Multi-Marginal Schrödinger Bridge NeurIPS 2023 Deep Optimal Transport: A Practical Algorithm for Photo-realistic Image Restoration NeurIPS 2023 Deep Reinforcement Learning for Two-sided Online Bipartite Matching in Collaborative Order Picking ACML 2023 Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023 Delayed Algorithms for Distributed Stochastic Weakly Convex Optimization NeurIPS 2023 Delayed Bandits: When Do Intermediate Observations Help? ICML 2023 Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023 Delayed Feedback in Kernel Bandits ICML 2023 Delegated Online Search IJCAI 2023 Design Amortization for Bayesian Optimal Experimental Design AAAI 2023 Detecting Multivariate Time Series Anomalies with Zero Known Label AAAI 2023