Mathematics & Optimization

A Dynamical Systems Perspective on Discrete Optimization L4DC 2023 Aerial Vision-and-Dialog Navigation ACL 2023 A Fast Adaptive Randomized PCA Algorithm IJCAI 2023 A Fast Algorithm for Computing Prefix Probabilities ACL 2023 A Fast Algorithm for Consistency Checking Partially Ordered Time IJCAI 2023 A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging NeurIPS 2023 A Faster Practical Approximation Scheme for the Permanent AAAI 2023 A Faster Sampler for Discrete Determinantal Point Processes AISTATS 2023 A Fast Maximum k-Plex Algorithm Parameterized by the Degeneracy Gap IJCAI 2023 A Fast Optimistic Method for Monotone Variational Inequalities ICML 2023 A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NeurIPS 2023 A finite-state morphological analyser for Highland Puebla Nahuatl ACL 2023 A Formal Metareasoning Model of Concurrent Planning and Execution AAAI 2023 A Formal Perspective on Byte-Pair Encoding ACL 2023 A Framework for Adapting Offline Algorithms to Solve Combinatorial Multi-Armed Bandit Problems with Bandit Feedback ICML 2023 A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions NeurIPS 2023 A Framework to Design Approximation Algorithms for Finding Diverse Solutions in Combinatorial Problems AAAI 2023 A Fully First-Order Method for Stochastic Bilevel Optimization ICML 2023 A Fused Gromov-Wasserstein Framework for Unsupervised Knowledge Graph Entity Alignment ACL 2023 A Generalized Scalarization Method for Evolutionary Multi-Objective Optimization AAAI 2023 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 Agnostic PAC Learning of k-juntas Using L_2-Polynomial Regression AISTATS 2023 A Group-Theoretic Approach to Computational Abstraction: Symmetry-Driven Hierarchical Clustering JMLR 2023 A Guide Through the Zoo of Biased SGD NeurIPS 2023 A Heat Diffusion Perspective on Geodesic Preserving Dimensionality Reduction NeurIPS 2023