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experimental design

104 papers

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