Mathematics

On the Convergence of Tâtonnement for Linear Fisher Markets AAAI 2025 On the Correspondence between the Squared Norm and Information Content in Text Embeddings EMNLP 2025 On the Geometry and Optimization of Polynomial Convolutional Networks AISTATS 2025 On the Hardness of Bandit Learning COLT 2025 On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks ICML 2025 On the Privacy-preserving Generalized Eigenvalue Problem ACML 2025 On the Recovery of Cameras from Fundamental Matrices ICCV 2025 On the Robustness of Kernel Goodness-of-Fit Tests JMLR 2025 On the Statistical Mechanisms of Distributional Compositional Generalization ICML 2025 Open Political Corpora: Structuring, Searching, and Analyzing Political Text Collections with PoliCorp EMNLP 2025 Operator Learning for Hyperbolic PDEs JMLR 2025 Optimal Bounds for Dissatisfaction in Perpetual Voting AAAI 2025 Optimal Functional Bilinear Regression with Two-dimensional Functional Covariates via Reproducing Kernel Hilbert Space JMLR 2025 Optimal Graph Reconstruction by Counting Connected Components in Induced Subgraphs COLT 2025 Optimal Stochastic Trace Estimation in Generative Modeling AISTATS 2025 Optimal Submanifold Structure in Log-linear Models UAI 2025 Optimal Survey Design for Private Mean Estimation ICML 2025 Optimal Transport Barycenter via Nonconvex-Concave Minimax Optimization ICML 2025 Optimal Transport on Categorical Data for Conterfactuals Using Compositional Data and Dirichlet Transport IJCAI 2025 Optimal Viewpoint Selection for Autonomous Photography Using Reinforcement Learning AAAI 2025 Optimization Over a Probability Simplex JMLR 2025 Optimizing for the Shortest Path in Denoising Diffusion Model CVPR 2025 Opt-ODENet: Neural ODE Controller Design with Differentiable Optimization Layers for Safety and Stability L4DC 2025 Ordered V-information Growth: A Fresh Perspective on Shared Information AISTATS 2025 Order-One Rolling Shutter Cameras CVPR 2025