Srebro, Nathan

Equality of Opportunity in Supervised Learning

Hardt, M., Price, E., & Srebro, N. (2016) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 2,536

Communication-Efficient Distributed Optimization using an Approximate Newton-type Method

Shamir, O., Srebro, N., & Zhang, T. (2013) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 424

Learning Non-Discriminatory Predictors

Woodworth, B., Gunasekar, S., Ohannessian, M. I., & Srebro, N. (2017) · arXiv

Ethics and Social Impacts of AIPrivacy-Preserving Technologies in Data

Cited by 182

Better Mini-Batch Algorithms via Accelerated Gradient Methods

Cotter, A., Shamir, O., Srebro, N., & Sridharan, K. (2011) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 173

Implicit Regularization in Matrix Factorization

Gunasekar, S., Woodworth, B., Bhojanapalli, S., Neyshabur, B., & Srebro, N. (2018) · 2018 Information Theory and Applications Workshop (ITA)

Sparse and Compressive Sensing TechniquesStochastic Gradient Optimization Techniques

Cited by 170

Is Local SGD Better than Minibatch SGD?

Woodworth, B., Patel, K. K., Stich, S. U., Dai, Z., Bullins, B., McMahan, H. B., Shamir, O., & Srebro, N. (2020) · arXiv

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 131

Distributed stochastic optimization and learning

Shamir, O., & Srebro, N. (2014) · 2014 52nd Annual Allerton Conference on Communication, Control, and Computing (Allerton)

Stochastic Gradient Optimization TechniquesDistributed Control Multi-Agent Systems

Cited by 120

Implicit Bias of Gradient Descent on Linear Convolutional Networks

Gunasekar, S., Lee, J., Soudry, D., & Srebro, N. (2018) · arXiv

Stochastic Gradient Optimization TechniquesNeural Networks and Applications

Cited by 75

Semi-Cyclic Stochastic Gradient Descent

Eichner, H., Koren, T., McMahan, H. B., Srebro, N., & Talwar, K. (2019) · arXiv

Stochastic Gradient Optimization TechniquesPrivacy-Preserving Technologies in Data

Cited by 66