Glocal Smoothness: Line search and adaptive step sizes can help in theory too!
C. Fox, A. Mishkin, S. Vaswani, M. Schmidt. "Glocal Smoothness: Line search and adaptive step sizes can help in theory too!". TMLR, 2026
C. Fox, A. Mishkin, S. Vaswani, M. Schmidt. "Glocal Smoothness: Line search and adaptive step sizes can help in theory too!". TMLR, 2026
L. Galli, C. Fox, W. Bartolomaeus, M. Schmidt, H. Rauhut. "Flatland: The Adventures of Gradient Descent with Large Step Sizes". ICML, 2026
A. Abaskohi, T. Chen, M. Muñoz-Mármol, C. Fox, A. V. Ramesh, É. Marcotte, X. H. Lù, N. Chapados, S. Gella, C. Pal, A. Drouin, I. H. Laradji. "DRBench: A Realistic Benchmark for Enterprise Deep Research". ICLR, 2026
L. Madden, C. Fox, C. Thrampoulidis. "Next-token Prediction Capacity: General Upper Bounds and a Lower Bound for Transformers". IEEE Transactions on Information Theory, 2025
C. Fox, L. Galli, M. Schmidt, H. Rauhut. "Nonmonotone Line Searches Operate at the Edge of Stability". NeurIPS OPT Workshop, 2024
C. Fox. "A Study of the Edge of Stability in Deep Learning". Masters Thesis, 2023
A. Maslova, R. N. Ramirez, K. Ma, H. Schmutz, C. Wang, C. Fox, B. Ng, C. Benoist, S. Mostafavi, Immunological Genome Project. "Deep Learning of Immune Cell Differentiation". Proceedings of the National Academy of Sciences of the United States of America, 2020
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, California