10 citations · 17 across the 2 of their papers we have counts for
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stat.ML2018
Distributed Stochastic Multi-Task Learning with Graph Regularization
Weiran Wang, Jialei Wang, Mladen Kolar +1
We propose methods for distributed graph-based multi-task learning that are based on weighted averaging of messages from other machines. Uniform averaging or diminishing stepsize i…
stat.ML2016
Efficient Distributed Learning with Sparsity
Jialei Wang, Mladen Kolar, Nathan Srebro +1
We propose a novel, efficient approach for distributed sparse learning in high-dimensions, where observations are randomly partitioned across machines. Computationally, at each rou…