Are sample means in multi-armed bandits positively or negatively biased? J Shin, A Ramdas, A Rinaldo Advances in Neural Information Processing Systems 32, 2019 | 43 | 2019 |
Homotopy reconstruction via the cech complex and the vietoris-rips complex J Kim, J Shin, F Chazal, A Rinaldo, L Wasserman arXiv preprint arXiv:1903.06955, 2019 | 36 | 2019 |
Uniform convergence rate of the kernel density estimator adaptive to intrinsic dimension J Kim, J Shin, A Rinaldo, L Wasserman arXiv preprint arXiv:1810.05935, 2018 | 34* | 2018 |
On the bias, risk and consistency of sample means in multi-armed bandits J Shin, A Ramdas, A Rinaldo arXiv preprint arXiv:1902.00746, 2019 | 27 | 2019 |
Probabilistic interpretations of recurrent neural networks YJ Choe, J Shin, N Spencer Probabilistic Graphical Models, 2017 | 16 | 2017 |
On the bias, risk, and consistency of sample means in multi-armed bandits J Shin, A Ramdas, A Rinaldo SIAM Journal on Mathematics of Data Science 3 (4), 1278-1300, 2021 | 14 | 2021 |
On conditional versus marginal bias in multi-armed bandits J Shin, A Ramdas, A Rinaldo International Conference on Machine Learning, 8852-8861, 2020 | 14 | 2020 |
E-detectors: a nonparametric framework for online changepoint detection J Shin, A Ramdas, A Rinaldo arXiv preprint arXiv:2203.03532, 2022 | 10 | 2022 |
Predictive clustering J Shin, A Rinaldo, L Wasserman arXiv preprint arXiv:1903.08125, 2019 | 8 | 2019 |
Nonparametric iterated-logarithm extensions of the sequential generalized likelihood ratio test J Shin, A Ramdas, A Rinaldo IEEE Journal on Selected Areas in Information Theory 2 (2), 691-704, 2021 | 5 | 2021 |
E-detectors: a nonparametric framework for sequential change detection J Shin, A Ramdas, A Rinaldo arXiv preprint arXiv:2203.03532, 2022 | 2 | 2022 |
Confidence sets for persistent homology of the KDE filtration J Shin, J Kim, A Rinaldo, L Wasserman | 1 | |
A qualitative and quantitative analysis of the bias caused by adaptivity in multi-armed bandits J Shin Carnegie Mellon University, 2020 | | 2020 |