Mathematics

Sinkhorn Flow as Mirror Flow: A Continuous-Time Framework for Generalizing the Sinkhorn Algorithm AISTATS 2024 Sketched Newton Value Iteration for Large-Scale Markov Decision Processes AAAI 2024 Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates ICML 2024 Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks ICML 2024 Snapshot Lidar: Fourier Embedding of Amplitude and Phase for Single-Image Depth Reconstruction CVPR 2024 SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks AAAI 2024 Sourcerer: Sample-based Maximum Entropy Source Distribution Estimation NeurIPS 2024 SPABA: A Single-Loop and Probabilistic Stochastic Bilevel Algorithm Achieving Optimal Sample Complexity ICML 2024 Sparse Representer Theorems for Learning in Reproducing Kernel Banach Spaces JMLR 2024 Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo CVPR 2024 Spatial meshing for general Bayesian multivariate models JMLR 2024 Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing (Extended Abstract) COLT 2024 Spectral Phase Transition and Optimal PCA in Block-Structured Spiked Models ICML 2024 Spectral Regularized Kernel Goodness-of-Fit Tests JMLR 2024 Speech Rate and Salient Syllables Position in Spontaneous Speech of Children with Autism Spectrum Disorder COLING 2024 SpelsNet: Surface Primitive Elements Segmentation by B-Rep Graph Structure Supervision NeurIPS 2024 Spherical Rotation Dimension Reduction with Geometric Loss Functions JMLR 2024 Spiking Graph Neural Network on Riemannian Manifolds NeurIPS 2024 S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization NeurIPS 2024 Stable and Consistent Density-Based Clustering via Multiparameter Persistence JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces II: non-compact symmetric spaces JMLR 2024 Stationary Kernels and Gaussian Processes on Lie Groups and their Homogeneous Spaces I: the compact case JMLR 2024 Statistical and Geometrical properties of the Kernel Kullback-Leibler divergence NeurIPS 2024 Statistical Estimation in the Spiked Tensor Model via the Quantum Approximate Optimization Algorithm NeurIPS 2024 Statistical Multicriteria Benchmarking via the GSD-Front NeurIPS 2024