Showing 1–20 of 116 results
/ Date/ Name
Oct 8, 2020CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer LearningMar 2, 2016The Arrow of Time in Multivariate Time SeriesOct 4, 2016Model Selection for Gaussian Process Regression by Approximation Set CodingOct 11, 2024Causal machine learning for predicting treatment outcomesMay 26, 2024Amortized Active Causal Induction with Deep Reinforcement LearningJul 12, 2022Latent Variable Models for Bayesian Causal DiscoveryFeb 28, 2022Bayesian Structure Learning with Generative Flow NetworksJan 15, 2022Physical Derivatives: Computing policy gradients by physical forward-propagationOct 22, 2021GeneDisco: A Benchmark for Experimental Design in Drug DiscoveryMar 24, 2021Pyfectious: An individual-level simulator to discover optimal containment polices for epidemic diseasesNov 29, 2020Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationJul 6, 2020Causal Feature Selection via Orthogonal SearchMay 31, 2019On the Fairness of Disentangled RepresentationsMay 3, 2019Disentangling Factors of Variation Using Few LabelsFeb 22, 2019AReS and MaRS - Adversarial and MMD-Minimizing Regression for SDEsOct 28, 2018Learning stable and predictive structures in kinetic systems: Benefits of a causal approachMay 19, 2025Minimum-Excess-Work GuidanceDec 9, 2025Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth AnalysisOct 27, 2020On the Transfer of Disentangled Representations in Realistic SettingsJun 7, 2019On the Transfer of Inductive Bias from Simulation to the Real World: a New Disentanglement Dataset