Kolar ML Lab
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
Differentially Private Matrix Completion through Low-rank Matrix Factorization
Lingxiao Wang
,
Boxin Zhao
,
Mladen Kolar
Gradient-Variation Bound for Online Convex Optimization with Constraints
Shuang Qiu
,
Xiaohan Wei
,
Mladen Kolar
Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning
Boxiang Lyu
,
Zhaoran Wang
,
Mladen Kolar
,
Zhuoran Yang
Dynamic Regret Minimization for Control of Non-stationary Linear Dynamical Systems
Yuwei Luo
,
Varun Gupta
,
Mladen Kolar
Robust Inference for High-Dimensional Linear Models via Residual Randomization
Y. Samuel Wang
,
Si Kai Lee
,
Panos Toulis
,
Mladen Kolar
Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach
Luofeng Liao
,
You-Lin Chen
,
Zhuoran Yang
,
Bo Dai
,
Zhaoran Wang
,
Mladen Kolar
Semiparametric Nonlinear Bipartite Graph Representation Learning with Provable Guarantees
Sen Na
,
Yuwei Luo
,
Zhuoran Yang
,
Zhaoran Wang
,
Mladen Kolar
Partially Linear Additive Gaussian Graphical Models
Sinong Geng
,
Minhao Yan
,
Mladen Kolar
,
Sanmi Koyejo
Learning Influence-Receptivity Network Structure with Guarantee
Ming Yu
,
Varun Gupta
,
Mladen Kolar
»
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