Kolar ML Lab
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cs.LG
L-SVRG and L-Katyusha with Adaptive Sampling
Boxin Zhao
,
Boxiang Lyu
,
Mladen Kolar
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Boxin Zhao
,
Ziqi Liu
,
Chaochao Chen
,
Mladen Kolar
,
Zhiqiang Zhang
,
Jun Zhou
Inequality Constrained Stochastic Nonlinear Optimization via Active-Set Sequential Quadratic Programming
Sen Na
,
Mihai Anitescu
,
Mladen Kolar
High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
Boxin Zhao
,
Percy Zhai
,
Y. Samuel Wang
,
Mladen Kolar
High-dimensional Index Volatility Models via Stein's Identity
Sen Na
,
Mladen Kolar
Personalized Federated Learning: A Unified Framework and Universal Optimization Techniques
Filip Hanzely
,
Boxin Zhao
,
Mladen Kolar
Instrumental Variable Value Iteration for Causal Offline Reinforcement Learning
Luofeng Liao
,
Zuyue Fu
,
Zhuoran Yang
,
Mladen Kolar
,
Zhaoran Wang
Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees
You-Lin Chen
,
Mladen Kolar
,
Ruey S. Tsay
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao
,
You-Lin Chen
,
Zhuoran Yang
,
Bo Dai
,
Zhaoran Wang
,
Mladen Kolar
Statistical Inference for Networks of High-Dimensional Point Processes
Xu Wang
,
Mladen Kolar
,
Ali Shojaie
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