experimental design

AI-Assisted Scientific Data Collection with Iterative Human Feedback AAAI 2021 Batch greedy maximization of non-submodular functions: Guarantees and applications to experimental design JMLR 2021 Convergence Guarantees for Gaussian Process Means With Misspecified Likelihoods and Smoothness JMLR 2021 Designing Transportable Experiments Under S-admissability AISTATS 2021 Efficient Balanced Treatment Assignments for Experimentation AISTATS 2021 Experimental Design for Regret Minimization in Linear Bandits AISTATS 2021 High-dimensional Experimental Design and Kernel Bandits ICML 2021 Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods NeurIPS 2021 Improved Algorithms for Agnostic Pool-based Active Classification ICML 2021 Near-Optimal Multi-Perturbation Experimental Design for Causal Structure Learning NeurIPS 2021 Preregistering NLP research NAACL 2021 Reliable Estimates of Interpretable Cue Effects with Active Learning in Psycholinguistic Research Interspeech 2021 Synthetic Design: An Optimization Approach to Experimental Design with Synthetic Controls NeurIPS 2021 Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NeurIPS 2020 An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020 Experimental design for MRI by greedy policy search NeurIPS 2020 Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020 Kriging Prediction with Isotropic Matern Correlations: Robustness and Experimental Designs JMLR 2020 Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020 With Little Power Comes Great Responsibility EMNLP 2020 A New Perspective on Pool-Based Active Classification and False-Discovery Control NeurIPS 2019 Bayesian Functional Optimisation with Shape Prior AAAI 2019 Fast Parallel Algorithms for Statistical Subset Selection Problems NeurIPS 2019 Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019 Sample Efficient Active Learning of Causal Trees NeurIPS 2019