Saved in:
| Main Authors: | Jia, Su, Frazier, Peter, Kallus, Nathan, Yu, Christina Lee |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.06685 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
by: Jia, Su, et al.
Published: (2023)
by: Jia, Su, et al.
Published: (2023)
Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023)
by: Jia, Su, et al.
Published: (2023)
Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024)
by: Bibaut, Aurélien, et al.
Published: (2024)
Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024)
by: Jia, Su, et al.
Published: (2024)
Anytime-Valid Continuous-Time Confidence Processes for Inhomogeneous Poisson Processes
by: Lindon, Michael, et al.
Published: (2024)
by: Lindon, Michael, et al.
Published: (2024)
Near-Optimal Non-Parametric Sequential Tests and Confidence Sequences with Possibly Dependent Observations
by: Bibaut, Aurelien, et al.
Published: (2022)
by: Bibaut, Aurelien, et al.
Published: (2022)
Nonparametric Jackknife Instrumental Variable Estimation and Confounding Robust Surrogate Indices
by: Bibaut, Aurélien, et al.
Published: (2024)
by: Bibaut, Aurélien, et al.
Published: (2024)
Exploration in the Limit
by: Cho, Brian M., et al.
Published: (2025)
by: Cho, Brian M., et al.
Published: (2025)
The Central Role of the Loss Function in Reinforcement Learning
by: Wang, Kaiwen, et al.
Published: (2024)
by: Wang, Kaiwen, et al.
Published: (2024)
Efficient Inference after Directionally Stable Adaptive Experiments
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
Efficient Inference for Inverse Reinforcement Learning and Dynamic Discrete Choice Models
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Nonparametric Instrumental Variable Inference with Many Weak Instruments
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
Optimal Design under Interference, Homophily, and Robustness Trade-offs
by: Thiyageswaran, Vydhourie, et al.
Published: (2026)
by: Thiyageswaran, Vydhourie, et al.
Published: (2026)
Automatic Debiased Machine Learning for Smooth Functionals of Nonparametric M-Estimands
by: van der Laan, Lars, et al.
Published: (2025)
by: van der Laan, Lars, et al.
Published: (2025)
ANOVA for High-dimensional Non-stationary Time Series
by: Zhang, Yunyi
Published: (2025)
by: Zhang, Yunyi
Published: (2025)
Online Experimental Design With Estimation-Regret Trade-off Under Network Interference
by: Zhang, Zhiheng, et al.
Published: (2024)
by: Zhang, Zhiheng, et al.
Published: (2024)
Sequential Scoring Rule Evaluation for Forecast Method Selection
by: Frazier, David T., et al.
Published: (2025)
by: Frazier, David T., et al.
Published: (2025)
Nonparametric Instrumental Variable Analysis Without Structural Equations: Debiased Inference on Functionals of Inverse Problems with No Solutions
by: Shen, Zikai, et al.
Published: (2026)
by: Shen, Zikai, et al.
Published: (2026)
Non-ergodic inference for stationary-increment harmonizable stable processes
by: Hoang, Ly Viet, et al.
Published: (2024)
by: Hoang, Ly Viet, et al.
Published: (2024)
Gaussian Approximation For Non-stationary Time Series with Optimal Rate and Explicit Construction
by: Bonnerjee, Soham, et al.
Published: (2024)
by: Bonnerjee, Soham, et al.
Published: (2024)
Concentration and Calibration in Predictive Bayesian Inference
by: Frazier, David T., et al.
Published: (2026)
by: Frazier, David T., et al.
Published: (2026)
Posterior risk of modular and semi-modular Bayesian inference
by: Frazier, David T., et al.
Published: (2023)
by: Frazier, David T., et al.
Published: (2023)
Synthetic likelihood in misspecified models
by: Frazier, David T., et al.
Published: (2021)
by: Frazier, David T., et al.
Published: (2021)
Design-Based Inference for Spatial Experiments under Unknown Interference
by: Wang, Ye, et al.
Published: (2020)
by: Wang, Ye, et al.
Published: (2020)
Predictive performance of power posteriors
by: McLatchie, Yann, et al.
Published: (2024)
by: McLatchie, Yann, et al.
Published: (2024)
MetaCURL: Non-stationary Concave Utility Reinforcement Learning
by: Moreno, Bianca Marin, et al.
Published: (2024)
by: Moreno, Bianca Marin, et al.
Published: (2024)
Cutting Feedback in Misspecified Copula Models
by: Smith, Michael Stanley, et al.
Published: (2023)
by: Smith, Michael Stanley, et al.
Published: (2023)
Wasserstein and Convex Gaussian Approximations for Non-stationary Time Series of Diverging Dimensionality
by: Liu, Miaoshiqi, et al.
Published: (2025)
by: Liu, Miaoshiqi, et al.
Published: (2025)
Limit Theorems for Weakly Dependent Non-stationary Random Field Arrays and Asymptotic Inference of Dynamic Spatio-temporal Models
by: Pan, Yue, et al.
Published: (2024)
by: Pan, Yue, et al.
Published: (2024)
Spectral analysis of multivariate stationary Hawkes processes
by: Tang, Yifu, et al.
Published: (2026)
by: Tang, Yifu, et al.
Published: (2026)
Optimization-centric cutting feedback for semiparametric models
by: Tan, Linda S. L., et al.
Published: (2025)
by: Tan, Linda S. L., et al.
Published: (2025)
Exact Sampling of Gibbs Measures with Estimated Losses
by: Frazier, David T., et al.
Published: (2024)
by: Frazier, David T., et al.
Published: (2024)
Asymptotic inference in a stationary quantum time series
by: Nussbaum, Michael, et al.
Published: (2025)
by: Nussbaum, Michael, et al.
Published: (2025)
Iterative Collaborative Filtering for Sparse Matrix Estimation
by: Borgs, Christian, et al.
Published: (2017)
by: Borgs, Christian, et al.
Published: (2017)
Pooling information in likelihood-free inference
by: Frazier, David T., et al.
Published: (2022)
by: Frazier, David T., et al.
Published: (2022)
Conditionally specified graphical modeling of stationary multivariate time series
by: Bhattacharya, Anirban, et al.
Published: (2025)
by: Bhattacharya, Anirban, et al.
Published: (2025)
Confidence surfaces for the mean of locally stationary functional time series
by: Dette, Holger, et al.
Published: (2021)
by: Dette, Holger, et al.
Published: (2021)
Validating spatial-temporal separability for stationary processes
by: Bai, Lujia, et al.
Published: (2026)
by: Bai, Lujia, et al.
Published: (2026)
Bayesian Modular Inference for Copula Models with Potentially Misspecified Marginals
by: Kock, Lucas, et al.
Published: (2026)
by: Kock, Lucas, et al.
Published: (2026)
Estimating stationary mass, frequency by frequency
by: Nakul, Milind, et al.
Published: (2025)
by: Nakul, Milind, et al.
Published: (2025)
Similar Items
-
Clustered Switchback Designs for Experimentation Under Spatio-temporal Interference
by: Jia, Su, et al.
Published: (2023) -
Smooth Non-Stationary Bandits
by: Jia, Su, et al.
Published: (2023) -
Demistifying Inference after Adaptive Experiments
by: Bibaut, Aurélien, et al.
Published: (2024) -
Multi-Armed Bandits with Interference
by: Jia, Su, et al.
Published: (2024) -
Anytime-Valid Continuous-Time Confidence Processes for Inhomogeneous Poisson Processes
by: Lindon, Michael, et al.
Published: (2024)