Ohad Shamir

Publications by Year

Research Areas

Stochastic Gradient Optimization Techniques, Machine Learning and Algorithms, Sparse and Compressive Sensing Techniques, Advanced Bandit Algorithms Research, Neural Networks and Applications

Most-Cited Works

• → Optimal Distributed Online Prediction using Mini-Batches(2010)563 cited
• → Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization(2011)548 cited
• → Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes(2012)411 cited
• Communication-Efficient Distributed Optimization using an Approximate Newton-type Method(2014)
• The Power of Depth for Feedforward Neural Networks(2016)
• → Learnability, Stability and Uniform Convergence(2010)324 cited
• On the Computational Efficiency of Training Neural Networks(2014)
• Stochastic Convex Optimization.(2009)
• → Learning and generalization with the information bottleneck(2010)171 cited