papers
Publications (15)
cs.LG2017
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
Amit Daniely, Roy Frostig, Yoram Singer
cs.LG2013
The Maximum Entropy Relaxation Path
Moshe Dubiner, Matan Gavish, Yoram Singer
cs.LG2013
Update Rules for Parameter Estimation in Bayesian Networks
Eric Bauer, Daphne Koller, Yoram Singer
cmp-lg1996
Beyond Word N-Grams
Fernando C. N. Pereira, Yoram Singer, Naftali Tishby
cs.LG2016
Sketching and Neural Networks
Amit Daniely, Nevena Lazic, Yoram Singer +1
cs.CV2013
Using Web Co-occurrence Statistics for Improving Image Categorization
Samy Bengio, Jeff Dean, Dumitru Erhan +5
cs.LG2016
Train faster, generalize better: Stability of stochastic gradient descent
Moritz Hardt, Benjamin Recht, Yoram Singer
cs.LG2017
A Unified Approach to Adaptive Regularization in Online and Stochastic Optimization
Vineet Gupta, Tomer Koren, Yoram Singer
cs.LG2013
Matrix Approximation under Local Low-Rank Assumption
Joonseok Lee, Seungyeon Kim, Guy Lebanon +1
cs.LG2017
Random Features for Compositional Kernels
Amit Daniely, Roy Frostig, Vineet Gupta +1
cs.DS2018
The Well Tempered Lasso
Yuanzhi Li, Yoram Singer
q-fin.PM2013
Switching Portfolios
Yoram Singer
cs.LG2018
Shampoo: Preconditioned Stochastic Tensor Optimization
Vineet Gupta, Tomer Koren, Yoram Singer
cs.LG2014
Zero-Shot Learning by Convex Combination of Semantic Embeddings
Mohammad Norouzi, Tomas Mikolov, Samy Bengio +5
cs.LG2019
Exponentiated Gradient Meets Gradient Descent
Udaya Ghai, Elad Hazan, Yoram Singer