Showing 1–15 of 15 results
/ Date/ Name
Nov 24, 2022PAC-Bayes Compression Bounds So Tight That They Can Explain GeneralizationSep 6, 2023CoLA: Exploiting Compositional Structure for Automatic and Efficient Numerical Linear AlgebraDec 19, 2019Invertible Gaussian Reparameterization: Revisiting the Gumbel-SoftmaxJun 19, 2023Simple and Fast Group Robustness by Automatic Feature ReweightingFeb 12, 2021Bias-Free Scalable Gaussian Processes via Randomized TruncationsJul 14, 2022Low-Precision Arithmetic for Fast Gaussian ProcessesMar 16, 2026Time-Aware Prior Fitted Networks for Zero-Shot Forecasting with Exogenous VariablesSep 9, 2025Customizing the Inductive Biases of Softmax Attention using Structured MatricesOct 3, 2024Searching for Efficient Linear Layers over a Continuous Space of Structured MatricesJun 10, 2024Compute Better Spent: Replacing Dense Layers with Structured MatricesApr 28, 2023A Stable and Scalable Method for Solving Initial Value PDEs with Neural NetworksApr 28, 2022On the Normalizing Constant of the Continuous Categorical DistributionJun 24, 2025Training Flexible Models of Genetic Variant Effects from Functional Annotations using Accelerated Linear AlgebraJan 2, 2026Zero-shot Forecasting by Simulation AloneSep 23, 2025A More Realistic Evaluation of Cross-Frequency Transfer Learning and Foundation Forecasting Models