Blake E. Woodworth
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
5
Active years
2017–2023
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICML | Two Losses Are Better Than One: Faster Optimization Using a Cheaper Proxy. | Blake E. Woodworth, Konstantin Mishchenko, Francis R. Bach |
| 2022 | COLT | Non-Convex Optimization with Certificates and Fast Rates Through Kernel Sums of Squares. | Blake E. Woodworth, Francis R. Bach, Alessandro Rudi |
| 2022 | IJCAI | The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication (Extended Abstract). | Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro |
| 2021 | AISTATS | Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent. | Suriya Gunasekar, Blake E. Woodworth, Nathan Srebro |
| 2021 | COLT | The Min-Max Complexity of Distributed Stochastic Convex Optimization with Intermittent Communication. | Blake E. Woodworth, Brian Bullins, Ohad Shamir, Nathan Srebro |
| 2021 | ICML | On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent. | Shahar Azulay, Edward Moroshko, Mor Shpigel Nacson, Blake E. Woodworth, Nathan Srebro, Amir Globerson, Daniel Soudry |
| 2020 | AISTATS | Guaranteed Validity for Empirical Approaches to Adaptive Data Analysis. | Ryan Rogers, Aaron Roth, Adam D. Smith, Nathan Srebro, Om Thakkar, Blake E. Woodworth |
| 2020 | COLT | The Gradient Complexity of Linear Regression. | Mark Braverman, Elad Hazan, Max Simchowitz, Blake E. Woodworth |
| 2020 | COLT | Kernel and Rich Regimes in Overparametrized Models. | Blake E. Woodworth, Suriya Gunasekar, Jason D. Lee, Edward Moroshko, Pedro Savarese, Itay Golan, Daniel Soudry, Nathan Srebro |
| 2020 | ICML | Is Local SGD Better than Minibatch SGD? | Blake E. Woodworth, Kumar Kshitij Patel, Sebastian U. Stich, Zhen Dai, Brian Bullins, H. Brendan McMahan, Ohad Shamir, Nathan Srebro |
| 2019 | COLT | The Complexity of Making the Gradient Small in Stochastic Convex Optimization. | Dylan J. Foster, Ayush Sekhari, Ohad Shamir, Nathan Srebro, Karthik Sridharan, Blake E. Woodworth |
| 2019 | COLT | Open Problem: The Oracle Complexity of Convex Optimization with Limited Memory. | Blake E. Woodworth, Nathan Srebro |
| 2019 | ICML | Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints. | Andrew Cotter, Maya R. Gupta, Heinrich Jiang, Nathan Srebro, Karthik Sridharan, Serena Lutong Wang, Blake E. Woodworth, Seungil You |
| 2018 | ITA | Implicit Regularization in Matrix Factorization. | Suriya Gunasekar, Blake E. Woodworth, Srinadh Bhojanapalli, Behnam Neyshabur, Nathan Srebro |
| 2017 | COLT | Learning Non-Discriminatory Predictors. | Blake E. Woodworth, Suriya Gunasekar, Mesrob I. Ohannessian, Nathan Srebro |