Lu, Junwei

10 publications

ICLR 2023 Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models Shuting Shen, Junwei Lu

JMLR 2023 Multi-Source Learning via Completion of Block-Wise Overlapping Noisy Matrices Doudou Zhou, Tianxi Cai, Junwei Lu

ICLRW 2023 Stasis: Reinforcement Learning Simulators for Human-Centric Real-World Environments Georgios Efstathiadis, Patrick Emedom-Nnamdi, Arinbjörn Kolbeinsson, Jukka-Pekka Onnela, Junwei Lu

ICLR 2021 Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization Kaidi Cao, Yining Chen, Junwei Lu, Nikos Arechiga, Adrien Gaidon, Tengyu Ma

ICML 2020 Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model Ying Jin, Zhaoran Wang, Junwei Lu

NeurIPS 2020 Expert-Supervised Reinforcement Learning for Offline Policy Learning and Evaluation Aaron Sonabend, Junwei Lu, Leo Anthony Celi, Tianxi Cai, Peter Szolovits

AISTATS 2020 Inference of Dynamic Graph Changes for Functional Connectome Dingjue Ji, Junwei Lu, Yiliang Zhang, Siyuan Gao, Hongyu Zhao

JMLR 2019 Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models Kean Ming Tan, Junwei Lu, Tong Zhang, Han Liu

NeurIPS 2018 Sketching Method for Large Scale Combinatorial Inference Wei Sun, Junwei Lu, Han Liu

ICML 2018 The Edge Density Barrier: Computational-Statistical Tradeoffs in Combinatorial Inference Hao Lu, Yuan Cao, Zhuoran Yang, Junwei Lu, Han Liu, Zhaoran Wang