339 citations · 1k across the 41 of their papers we have counts for
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Beating the Minimax Rate of Active Learning with Prior Knowledge
Lijun Zhang, Mehrdad Mahdavi, Rong Jin
Active learning refers to the learning protocol where the learner is allowed to choose a subset of instances for labeling. Previous studies have shown that, compared with passive l…
MixedGrad: An O(1/T) Convergence Rate Algorithm for Stochastic Smooth Optimization
Mehrdad Mahdavi, Rong Jin
It is well known that the optimal convergence rate for stochastic optimization of smooth functions is , which is same as stochastic optimization of Lipschitz continu…
Passive Learning with Target Risk
Mehrdad Mahdavi, Rong Jin
In this paper we consider learning in passive setting but with a slight modification. We assume that the target expected loss, also referred to as target risk, is provided in advan…
Sparse Multiple Kernel Learning with Geometric Convergence Rate
Rong Jin, Tianbao Yang, Mehrdad Mahdavi
In this paper, we study the problem of sparse multiple kernel learning (MKL), where the goal is to efficiently learn a combination of a fixed small number of kernels from a large p…