Co-occurring keywords · papers mentioning both
Papers
Cost-Aware Optimized Front-Door Experimental Design
CLeaR 2026
Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups
AAAI 2026
GUIDE: Towards Scalable Advising for Research Ideas
ACL 2026
Matched-Pair Experimental Design with Active Learning
UAI 2026
Robust Bayesian Decision Making under Adversarial Uncertainty
UAI 2026
Trajectory-Level Experimental Design for Fast Safety Parameter Estimation of Unknown Environments by Autonomous Systems
L4DC 2026
Dependent Randomized Rounding for Budget Constrained Experimental Design
UAI 2025
Integrating Inference and Experimental Design for Contextual Behavioral Model Learning
AAAI 2025
LLMs for Bayesian Optimization in Scientific Domains: Are We There Yet?
EMNLP 2025
On Distributional Discrepancy for Experimental Design with General Assignment Probabilities
AISTATS 2025
Overestimated performance of auditory attention decoding caused by experimental design in EEG recordings
Interspeech 2025
PIED: Physics-Informed Experimental Design for Inverse Problems
ICLR 2025
Adaptive Experimentation When You Can't Experiment
NeurIPS 2024
Amortized Bayesian Experimental Design for Decision-Making
NeurIPS 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models
ACL 2024
Bayesian Adaptive Calibration and Optimal Design
NeurIPS 2024
Data Acquisition via Experimental Design for Data Markets
NeurIPS 2024
Deep Submodular Peripteral Networks
NeurIPS 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
ICML 2024
Empirical Design in Reinforcement Learning
JMLR 2024
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
ICLR 2024
Fast Proxy Experiment Design for Causal Effect Identification
NeurIPS 2024
Nesting Particle Filters for Experimental Design in Dynamical Systems
ICML 2024
On the Importance of Application-Grounded Experimental Design for Evaluating Explainable ML Methods
AAAI 2024
OpenBox: A Python Toolkit for Generalized Black-box Optimization
JMLR 2024