Lifted Coefficient of Determination: Fast model-free prediction intervals and likelihood-free model comparisonby Daniel Salnikov, Kevin…
Calibrated Computation-Aware Gaussian Processesby Disha Hegde, Mohamed Adil, Jon CockayneFirst submitted to arxiv on: 11…
Kernel Banzhaf: A Fast and Robust Estimator for Banzhaf Valuesby Yurong Liu, R. Teal Witter,…
Generalizable autoregressive modeling of time series through functional narrativesby Ran Liu, Wenrui Ma, Ellen Zippi,…
On the Convergence of (Stochastic) Gradient Descent for Kolmogorov–Arnold Networksby Yihang Gao, Vincent Y. F.…
Robustness Auditing for Linear Regression: To Singularity and Beyondby Ittai Rubinstein, Samuel B. HopkinsFirst submitted…
More Experts Than Galaxies: Conditionally-overlapping Experts With Biologically-Inspired Fixed Routingby Sagi Shaier, Francisco Pereira, Katharina…
Deep and Probabilistic Solar Irradiance Forecast at the Arctic Circleby Niklas Erdmann, Lars Ø. Bentsen,…
Optimizing Estimators of Squared Calibration Errors in Classificationby Sebastian G. Gruber, Francis BachFirst submitted to…
Gridded Transformer Neural Processes for Large Unstructured Spatio-Temporal Databy Matthew Ashman, Cristiana Diaconu, Eric Langezaal,…