ML Anthology

Schneider, Frank

8 publications

ICLR 2025 Accelerating Neural Network Training: An Analysis of the AlgoPerf Competition Priya Kasimbeg, Frank Schneider, Runa Eschenhagen, Juhan Bae, Chandramouli Shama Sastry, Mark Saroufim, Boyuan Feng, Less Wright, Edward Z. Yang, Zachary Nado, Sourabh Medapati, Philipp Hennig, Michael Rabbat, George E. Dahl
TMLR 2025 Accelerating Non-Conjugate Gaussian Processes by Trading Off Computation for Uncertainty Lukas Tatzel, Jonathan Wenger, Frank Schneider, Philipp Hennig
TMLR 2025 Connecting Parameter Magnitudes and Hessian Eigenspaces at Scale Using Sketched Methods Andres Fernandez, Frank Schneider, Maren Mahsereci, Philipp Hennig
NeurIPS 2023 Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures Runa Eschenhagen, Alexander Immer, Richard Turner, Frank Schneider, Philipp Hennig
NeurIPSW 2022 Late-Phase Second-Order Training Lukas Tatzel, Philipp Hennig, Frank Schneider
NeurIPS 2021 Cockpit: A Practical Debugging Tool for the Training of Deep Neural Networks Frank Schneider, Felix Dangel, Philipp Hennig
ICML 2021 Descending Through a Crowded Valley - Benchmarking Deep Learning Optimizers Robin M Schmidt, Frank Schneider, Philipp Hennig
ICLR 2019 DeepOBS: A Deep Learning Optimizer Benchmark Suite Frank Schneider, Lukas Balles, Philipp Hennig