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Equality of Opportunity in Supervised Learning
- Moritz Hardt, Eric Price, Nathan Srebro
- Computer ScienceNIPS
- 7 October 2016
TLDR
Pegasos: primal estimated sub-gradient solver for SVM
- S. Shalev-Shwartz, Y. Singer, Nathan Srebro, Andrew Cotter
- Computer ScienceICML '07
- 20 June 2007
TLDR
Maximum-Margin Matrix Factorization
- Nathan Srebro, Jason D. M. Rennie, T. Jaakkola
- Computer ScienceNIPS
- 1 December 2004
TLDR
Fast maximum margin matrix factorization for collaborative prediction
- Jason D. M. Rennie, Nathan Srebro
- Computer ScienceICML
- 7 August 2005
TLDR
The Implicit Bias of Gradient Descent on Separable Data
- Daniel Soudry, Elad Hoffer, Suriya Gunasekar, Nathan Srebro
- Computer ScienceJ. Mach. Learn. Res.
- 27 October 2017
We examine gradient descent on unregularized logistic regression problems, with homogeneous linear predictors on linearly separable datasets. We show the predictor converges to the direction of the…
The Marginal Value of Adaptive Gradient Methods in Machine Learning
- Ashia C. Wilson, R. Roelofs, Mitchell Stern, Nathan Srebro, B. Recht
- Computer ScienceNIPS
- 23 May 2017
TLDR
Exploring Generalization in Deep Learning
- Behnam Neyshabur, Srinadh Bhojanapalli, D. McAllester, Nathan Srebro
- Computer ScienceNIPS
- 27 June 2017
TLDR
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method
- O. Shamir, Nathan Srebro, Tong Zhang
- Computer ScienceICML
- 30 December 2013
TLDR
Weighted Low-Rank Approximations
- Nathan Srebro, T. Jaakkola
- Computer ScienceICML
- 21 August 2003
TLDR
A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks
- Behnam Neyshabur, Srinadh Bhojanapalli, David A. McAllester, Nathan Srebro
- Computer Science, MathematicsICLR
- 29 July 2017
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