Lin, Licong, Ying, Mufang, Ghosh, Suvrojit, Khamaru, Koulik, and Zhang, Cun-Hui. Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. Retrieved from https://par.nsf.gov/biblio/10497888. Advances in neural information processing systems .

Lin, Licong, Ying, Mufang, Ghosh, Suvrojit, Khamaru, Koulik, & Zhang, Cun-Hui. Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference. Advances in neural information processing systems, (). Retrieved from https://par.nsf.gov/biblio/10497888.

Lin, Licong, Ying, Mufang, Ghosh, Suvrojit, Khamaru, Koulik, and Zhang, Cun-Hui. "Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference". Advances in neural information processing systems (). Country unknown/Code not available: Curran Associates, Inc.. https://par.nsf.gov/biblio/10497888.

@article{osti_10497888,
place = {Country unknown/Code not available}, title = {Statistical Limits of Adaptive Linear Models: Low-Dimensional Estimation and Inference}, url = {https://par.nsf.gov/biblio/10497888}, abstractNote = {}, journal = {Advances in neural information processing systems}, publisher = {Curran Associates, Inc.}, author = {Lin, Licong and Ying, Mufang and Ghosh, Suvrojit and Khamaru, Koulik and Zhang, Cun-Hui}, editor = {Oh, A. and Neumann, T. and Globerson, A. and Saenko, K. and Hardt, M. and Levine, S.} }