22 citations · 63 across the 20 of their papers we have counts for
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cs.LG2022★ 2 cited
Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
Tasuku Soma, Khashayar Gatmiry, Sharut Gupta +1
Distributionally robust optimization (DRO) can improve the robustness and fairness of learning methods. In this paper, we devise stochastic algorithms for a class of DRO problems i…
cs.LG2020★ 22 cited
Statistical Learning with Conditional Value at Risk
Tasuku Soma, Yuichi Yoshida
We propose a risk-averse statistical learning framework wherein the performance of a learning algorithm is evaluated by the conditional value-at-risk (CVaR) of losses rather than t…
cs.LG2018★ 2 cited
Fast greedy algorithms for dictionary selection with generalized sparsity constraints
Kaito Fujii, Tasuku Soma
In dictionary selection, several atoms are selected from finite candidates that successfully approximate given data points in the sparse representation. We propose a novel efficien…