conftrace_

experimental design

89 papers

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Co-occurring keywords

causal inference (1630) active learning (1301) bayesian optimization (624) bayesian inference (1907) submodular optimization (261) optimal design (18) greedy algorithm (242) linear bandit (124) optimal experimental design (23) treatment effect (134)

Papers

An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020
Adaptive Experimental Design with Temporal Interference: A Maximum Likelihood Approach NIPS 2020
Experimental design for MRI by greedy policy search NIPS 2020
Experimental Design for Optimization of Orthogonal Projection Pursuit Models AAAI 2020
With Little Power Comes Great Responsibility EMNLP 2020
Sample Efficient Active Learning of Causal Trees NIPS 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression COLT 2019
A New Perspective on Pool-Based Active Classification and False-Discovery Control NIPS 2019
Submodular Maximization beyond Non-negativity: Guarantees, Fast Algorithms, and Applications ICML 2019
Bayesian Functional Optimisation with Shape Prior AAAI 2019
Fast Parallel Algorithms for Statistical Subset Selection Problems NIPS 2019
Sequential Experimental Design for Transductive Linear Bandits NIPS 2019
Size of Interventional Markov Equivalence Classes in random DAG models AISTATS 2019
Experimental Design for Cost-Aware Learning of Causal Graphs NIPS 2018
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing ACL 2018
New Balanced Active Learning Model and Optimization Algorithm IJCAI 2018
Experimental Design under the Bradley-Terry Model IJCAI 2018
A Robust Approach to Sequential Information Theoretic Planning ICML 2018
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017
Polynomial time algorithms for dual volume sampling NIPS 2017
Experimental Design for Learning Causal Graphs with Latent Variables NIPS 2017
Approximate Supermodularity Bounds for Experimental Design NIPS 2017
Near-Optimal Design of Experiments via Regret Minimization ICML 2017
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models JMLR 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations ICML 2017