Clayton Sanford

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 15

Top Topics

Uniform Convergence

Linear Regression

Top Venues

Publications

Clayton Sanford, Daniel Hsu, Matus Telgarsky
Transformers, parallel computation, and logarithmic depth. CoRR (2024)
Clayton Sanford, Bahare Fatemi, Ethan Hall, Anton Tsitsulin, Seyed Mehran Kazemi, Jonathan Halcrow, Bryan Perozzi, Vahab Mirrokni
Understanding Transformer Reasoning Capabilities via Graph Algorithms. CoRR (2024)
Clayton Sanford, Daniel J. Hsu, Matus Telgarsky
Representational Strengths and Limitations of Transformers. NeurIPS (2023)
Clayton Sanford, Daniel Hsu, Matus Telgarsky
Representational Strengths and Limitations of Transformers. CoRR (2023)
Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Andrew Stavroulakis
On Scrambling Phenomena for Randomly Initialized Recurrent Networks. CoRR (2022)
Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis
Near-Optimal Statistical Query Lower Bounds for Agnostically Learning Intersections of Halfspaces with Gaussian Marginals. CoRR (2022)
Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song
Learning Single-Index Models with Shallow Neural Networks. CoRR (2022)
Clayton Sanford, Navid Ardeshir, Daniel Hsu
Intrinsic dimensionality and generalization properties of the R-norm inductive bias. CoRR (2022)
Alberto Bietti, Joan Bruna, Clayton Sanford, Min Jae Song
Learning single-index models with shallow neural networks. NeurIPS (2022)
Vaggos Chatziafratis, Ioannis Panageas, Clayton Sanford, Stelios Stavroulakis
On Scrambling Phenomena for Randomly Initialized Recurrent Networks. NeurIPS (2022)
Navid Ardeshir, Clayton Sanford, Daniel Hsu
Support vector machines and linear regression coincide with very high-dimensional features. CoRR (2021)
Daniel Hsu, Clayton Sanford, Rocco A. Servedio, Emmanouil-Vasileios Vlatakis-Gkaragkounis
On the Approximation Power of Two-Layer Networks of Random ReLUs. CoRR (2021)
Clayton Sanford, Vaggos Chatziafratis
Expressivity of Neural Networks via Chaotic Itineraries beyond Sharkovsky's Theorem. CoRR (2021)
Navid Ardeshir, Clayton Sanford, Daniel J. Hsu
Support vector machines and linear regression coincide with very high-dimensional features. NeurIPS (2021)
Clayton Sanford, Cyrus Cousins, Eli Upfal
Uniform Convergence Bounds for Codec Selection. CoRR (2018)