Clip-ogd: An experimental design for adaptive neyman allocation in sequential experiments
From clinical development of cancer therapies to investigations into partisan bias, adaptive
sequential designs have become increasingly popular method for causal inference, as they …
sequential designs have become increasingly popular method for causal inference, as they …
CLIP-OGD: an experimental design for adaptive neyman allocation in sequential experiments
J Dai, P Gradu, C Harshaw - … of the 37th International Conference on …, 2023 - dl.acm.org
From clinical development of cancer therapies to investigations into partisan bias, adaptive
sequential designs have become increasingly popular method for causal inference, as they …
sequential designs have become increasingly popular method for causal inference, as they …
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
J Dai, P Gradu, C Harshaw - arXiv preprint arXiv:2305.17187, 2023 - arxiv.org
From clinical development of cancer therapies to investigations into partisan bias, adaptive
sequential designs have become increasingly popular method for causal inference, as they …
sequential designs have become increasingly popular method for causal inference, as they …
Clip-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
J Dai, P Gradu, C Harshaw - arXiv e-prints, 2023 - ui.adsabs.harvard.edu
From clinical development of cancer therapies to investigations into partisan bias, adaptive
sequential designs have become increasingly popular method for causal inference, as they …
sequential designs have become increasingly popular method for causal inference, as they …
CLIP-OGD: An Experimental Design for Adaptive Neyman Allocation in Sequential Experiments
J Dai, P Gradu, C Harshaw - Thirty-seventh Conference on Neural … - openreview.net
From clinical development of cancer therapies to investigations into partisan bias, adaptive
sequential designs have become increasingly popular method for causal inference, as they …
sequential designs have become increasingly popular method for causal inference, as they …