:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wen, Xin, Chen, Xi, Sun, Will Wei, Zhang, Yichen
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Methodology
Online Access:	https://arxiv.org/abs/2604.08804
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Online Tensor Inference
by: Wen, Xin, et al.
Published: (2023)

Probabilistic Factorial Experimental Design for Combinatorial Interventions
by: Shyamal, Divya, et al.
Published: (2025)

SGD with Dependent Data: Optimal Estimation, Regret, and Inference
by: Shen, Yinan, et al.
Published: (2026)

Extrapolating Single-Treatment Effects Out of Factorial Experiments
by: Duarte, Guilherme
Published: (2024)

Combining Experimental and Historical Data for Policy Evaluation
by: Li, Ting, et al.
Published: (2024)

Adaptive Experimental Design for Policy Learning
by: Kato, Masahiro, et al.
Published: (2024)

Designing Time Series Experiments in A/B Testing with Transformer Reinforcement Learning
by: Wu, Xiangkun, et al.
Published: (2026)

Can Large Language Models Help Experimental Design for Causal Discovery?
by: Li, Junyi, et al.
Published: (2025)

Targeted Sequential Indirect Experiment Design
by: Ailer, Elisabeth, et al.
Published: (2024)

Nesting Particle Filters for Experimental Design in Dynamical Systems
by: Iqbal, Sahel, et al.
Published: (2024)

Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
by: Chen, Elynn, et al.
Published: (2026)

Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing
by: Sun, Rongyi, et al.
Published: (2026)

Generative Synthetic Data for Causal Inference: Pitfalls, Remedies, and Opportunities
by: Xu, Yichen
Published: (2026)

Green LIME: Improving AI Explainability through Design of Experiments
by: Stadler, Alexandra, et al.
Published: (2025)

Recursive Nested Filtering for Efficient Amortized Bayesian Experimental Design
by: Iqbal, Sahel, et al.
Published: (2024)

Sample-Efficient "Clustering and Conquer" Procedures for Parallel Large-Scale Ranking and Selection
by: Zhang, Zishi, et al.
Published: (2024)

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
by: Liang, Biyonka, et al.
Published: (2023)

Goal-Oriented Sequential Bayesian Experimental Design for Causal Learning
by: Zhang, Zheyu, et al.
Published: (2025)

Privacy Preserving Adaptive Experiment Design
by: Li, Jiachun, et al.
Published: (2024)

Wasserstein Gradient Flows for Batch Bayesian Optimal Experimental Design
by: Sharrock, Louis
Published: (2026)

Data-Driven Knowledge Transfer in Batch $Q^*$ Learning
by: Chen, Elynn, et al.
Published: (2024)

Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
by: Blau, Tom, et al.
Published: (2023)

Conditional Predictive Inference for General Structured Data with Group Symmetries
by: Shen, Yichen, et al.
Published: (2026)

Towards Optimal Environmental Policies: Policy Learning under Arbitrary Bipartite Network Interference
by: Kim, Raphael C., et al.
Published: (2024)

Deep Adaptive Model-Based Design of Experiments
by: Strouwen, Arno, et al.
Published: (2026)

Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choices
by: Kato, Masahiro, et al.
Published: (2024)

Efficient Budget Allocation for Large-Scale LLM-Enabled Virtual Screening
by: Li, Zaile, et al.
Published: (2024)

Estimating Bidirectional Causal Effects with Large Scale Online Kernel Learning
by: Tanaka, Masahiro
Published: (2025)

Integrating Active Learning in Causal Inference with Interference: A Novel Approach in Online Experiments
by: Zhu, Hongtao, et al.
Published: (2024)

Large Scale Hierarchical Industrial Demand Time-Series Forecasting incorporating Sparsity
by: Kamarthi, Harshavardhan, et al.
Published: (2024)

Stronger Neyman Regret Guarantees for Adaptive Experimental Design
by: Noarov, Georgy, et al.
Published: (2025)

Deep Optimal Experimental Design for Parameter Estimation Problems
by: Siddiqui, Md Shahriar Rahim, et al.
Published: (2024)

Fast Proxy Experiment Design for Causal Effect Identification
by: Elahi, Sepehr, et al.
Published: (2024)

Adaptive Experimentation When You Can't Experiment
by: Zhao, Yao, et al.
Published: (2024)

High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)

Inference for Large Scale Regression Models with Dependent Errors
by: Voirol, Lionel, et al.
Published: (2024)

Maximin Robust Bayesian Experimental Design
by: Abdulsamad, Hany, et al.
Published: (2026)

MAFS: Multi-head Attention Feature Selection for High-Dimensional Data via Deep Fusion of Filter Methods
by: Sun, Xiaoyan, et al.
Published: (2026)

Design Stability in Adaptive Experiments: Implications for Treatment Effect Estimation
by: Sengupta, Saikat, et al.
Published: (2025)

Optimal Differentially Private Ranking from Pairwise Comparisons
by: Cai, T. Tony, et al.
Published: (2025)