Zachary B. Charles

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 19

Top Topics

Adjacency Matrix

Randomly Distributed

Eigendecomposition

Efficient Learning

Top Venues

Publications

Zachary B. Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos
Convergence and Margin of Adversarial Training on Separable Data. CoRR (2019)
Shashank Rajput, Zhili Feng, Zachary B. Charles, Po-Ling Loh, Dimitris S. Papailiopoulos
Does Data Augmentation Lead to Positive Margin? CoRR (2019)
Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding. CoRR (2019)
Zachary B. Charles, Harrison Rosenberg, Dimitris S. Papailiopoulos
A Geometric Perspective on the Transferability of Adversarial Directions. AISTATS (2019)
Shashank Rajput, Zhili Feng, Zachary B. Charles, Po-Ling Loh, Dimitris S. Papailiopoulos
Does Data Augmentation Lead to Positive Margin? ICML (2019)
Scott Sievert, Zachary B. Charles
Improving the convergence of SGD through adaptive batch sizes. CoRR (2019)
Shashank Rajput, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. CoRR (2019)
Shashank Rajput, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. NeurIPS (2019)
Zachary B. Charles, Dimitris S. Papailiopoulos
Stability and Generalization of Learning Algorithms that Converge to Global Optima. ICML (2018)
Lingjiao Chen, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DRACO: Byzantine-resilient Distributed Training via Redundant Gradients. ICML (2018)
Lingjiao Chen, Hongyi Wang, Zachary B. Charles, Dimitris S. Papailiopoulos
DRACO: Robust Distributed Training via Redundant Gradients. CoRR (2018)
Zachary B. Charles, Harrison Rosenberg, Dimitris S. Papailiopoulos
A Geometric Perspective on the Transferability of Adversarial Directions. CoRR (2018)
Zachary B. Charles, Dimitris S. Papailiopoulos
Gradient Coding via the Stochastic Block Model. CoRR (2018)
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary B. Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
ATOMO: Communication-efficient Learning via Atomic Sparsification. CoRR (2018)
Zachary B. Charles, Dimitris S. Papailiopoulos
Gradient Coding Using the Stochastic Block Model. ISIT (2018)
Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary B. Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
ATOMO: Communication-efficient Learning via Atomic Sparsification. NeurIPS (2018)
Zachary B. Charles, Dimitris S. Papailiopoulos, Jordan S. Ellenberg
Approximate Gradient Coding via Sparse Random Graphs. CoRR (2017)
Zachary B. Charles, Dimitris S. Papailiopoulos
Stability and Generalization of Learning Algorithms that Converge to Global Optima. CoRR (2017)
Zachary B. Charles
Generating Random Factored Ideals in Number Fields. CoRR (2016)
Zachary B. Charles, Miriam Farber, Charles R. Johnson, Lee Kennedy-Shaffer
Nonpositive eigenvalues of the adjacency matrix and lower bounds for Laplacian eigenvalues. Discret. Math. 313 (13) (2013)
Zachary B. Charles, Miriam Farber, Charles R. Johnson, Lee Kennedy-Shaffer
Nonpositive Eigenvalues of Hollow, Symmetric, Nonnegative Matrices. SIAM J. Matrix Anal. Appl. 34 (3) (2013)