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Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning



Boxiang Lyu , Zhaoran Wang , Mladen Kolar , Zhuoran Yang


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Personalized Federated Learning with Multiple Known Clusters



Boxiang Lyu , Filip Hanzely , Mladen Kolar


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L-SVRG and L-Katyusha with Adaptive Sampling



Boxin Zhao , Boxiang Lyu , Mladen Kolar


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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback



Boxin Zhao , Ziqi Liu , Chaochao Chen , Mladen Kolar , Zhiqiang Zhang , Jun Zhou

* 41 pages, 10 figures 

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Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems



Yuwei Luo , Varun Gupta , Mladen Kolar


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Joint Gaussian Graphical Model Estimation: A Survey



Katherine Tsai , Oluwasanmi Koyejo , Mladen Kolar


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Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming



Sen Na , Mihai Anitescu , Mladen Kolar

* 61 pages, 7 figures 

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Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems



Luofeng Liao , Li Shen , Jia Duan , Mladen Kolar , Dacheng Tao

* 24 pages 

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Robust Inference for High-Dimensional Linear Models via Residual Randomization



Y. Samuel Wang , Si Kai Lee , Panos Toulis , Mladen Kolar

* International Conference on Machine Learning 2021 

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High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach



Boxin Zhao , Shengjun Zhai , Y. Samuel Wang , Mladen Kolar

* 52 pages, 1 figure and 2 tables 

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