Kolar ML Lab
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One Policy is Enough: Parallel Exploration with a Single Policy is Minimax Optimal for Reward-Free Reinforcement Learning
Pedro Cisneros Velarde
,
Boxiang Lyu
,
Sanmi Koyejo
,
Mladen Kolar
Provably training overparameterized neural network classifiers with non-convex constraints
You-Lin Chen
,
Zhaoran Wang
,
Mladen Kolar
Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu
,
Xiaohan Wei
,
Mladen Kolar
Local AdaGrad-type algorithm for stochastic convex-concave optimization
Luofeng Liao
,
Li Shen
,
Jia Duan
,
Mladen Kolar
,
Dacheng Tao
Latent Multimodal Functional Graphical Model Estimation
Katherine Tsai
,
Boxin Zhao
,
Oluwasanmi Koyejo
,
Mladen Kolar
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Boxiang Lyu
,
Zhaoran Wang
,
Mladen Kolar
,
Zhuoran Yang
Personalized Federated Learning with Multiple Known Clusters
Boxiang Lyu
,
Filip Hanzely
,
Mladen Kolar
A Nonconvex Framework for Structured Dynamic Covariance Recovery
Katherine Tsai
,
Mladen Kolar
,
Oluwasanmi Koyejo
FuDGE: A Method to Estimate a Functional Differential Graph in a High-Dimensional Setting
Boxin Zhao
,
Y. Samuel Wang
,
Mladen Kolar
Joint Gaussian Graphical Model Estimation: A Survey
Katherine Tsai
,
Oluwasanmi Koyejo
,
Mladen Kolar
»
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