Capacity and Bias of Learned Geometric Embeddings for Directed Graphs
- Michael Boratko
- Dongxu Zhang
- et al.
- 2021
- NeurIPS 2021
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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36 results for Kenneth L Clarkson
Topological Data Analysis on Noisy Quantum Computers
- Ismail Akhalwaya
- Shashanka Ubaru
- et al.
- 2024
- ICLR 2024
Quantum-Inspired Algorithms from Randomized Numerical Linear Algebra
- Nadiia Chepurko
- Kenneth L. Clarkson
- et al.
- 2022
- ICML 2022
Projection techniques to update the truncated SVD of evolving matrices with applications
- Vasileios Kalantzis
- Georgios Kollias
- et al.
- 2021
- ICML 2021
Dimensionality reduction for Tukey regression
- Kenneth L. Clarkson
- Ruosong Wang
- et al.
- 2019
- ICML 2019
Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes
- Cristina Cornelio
- Sanjeeb Dash
- et al.
- 2023
- Nature Communications
Low-rank approximation and regression in input sparsity time
- Kenneth L. Clarkson
- David P. Woodruff
- 2017
- Journal of the ACM
Sublinear optimization for machine learning
- Kenneth L. Clarkson
- Elad Hazan
- et al.
- 2012
- Journal of the ACM
Low-rank PSD approximation in input-sparsity time
- Kenneth L. Clarkson
- David P. Woodruff
- 2017
- SODA 2017
Sketching for M-estimators: A unified approach to robust regression
- Kenneth L. Clarkson
- David P. Woodruff
- 2015
- SODA 2015