Mathematics & Optimization

HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization CVPR 2023 High-dimensional Asymptotics of Denoising Autoencoders NeurIPS 2023 High-dimensional Contextual Bandit Problem without Sparsity NeurIPS 2023 High-Dimensional Dueling Optimization with Preference Embedding AAAI 2023 High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors ICML 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023 Higher-Order Spectral Clustering Under Superimposed Stochastic Block Models JMLR 2023 High Probability Bounds for Stochastic Continuous Submodular Maximization AISTATS 2023 High Probability Convergence of Stochastic Gradient Methods ICML 2023 HiGrad: Uncertainty Quantification for Online Learning and Stochastic Approximation JMLR 2023 History Filtering in Imperfect Information Games: Algorithms and Complexity NeurIPS 2023 H-Likelihood Approach to Deep Neural Networks with Temporal-Spatial Random Effects for High-Cardinality Categorical Features ICML 2023 Horospherical Decision Boundaries for Large Margin Classification in Hyperbolic Space NeurIPS 2023 How Bad is Top-K Recommendation under Competing Content Creators? ICML 2023 How Do You Want Your Greedy: Simultaneous or Repeated? JMLR 2023 How to Cut a Discrete Cake Fairly AAAI 2023 H-TSP: Hierarchically Solving the Large-Scale Traveling Salesman Problem AAAI 2023 Huber-robust confidence sequences AISTATS 2023 Human Assisted Learning by Evolutionary Multi-Objective Optimization AAAI 2023 Hybrid Learning with New Value Function for the Maximum Common Induced Subgraph Problem AAAI 2023 HyHTM: Hyperbolic Geometry-based Hierarchical Topic Model ACL 2023 Hyperbolic Deep Reinforcement Learning ICLR 2023 Hyperbolic Diffusion Embedding and Distance for Hierarchical Representation Learning ICML 2023 Hypervolume Maximization: A Geometric View of Pareto Set Learning NeurIPS 2023 Hypothesis Selection with Memory Constraints NeurIPS 2023