ArXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
Install / Use
/learn @logangraham/ArXausalityREADME
2020 / 9 / 10
| Date | Title | Links | |----------|---------------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------| |2020-09-09|Reinforcement Learning in Non-Stationary Discrete-Time Linear-Quadratic Mean-Field Games |Abstract | PDF| |2020-09-09|Impact of News on the Commodity Market: Dataset and Results |Abstract | PDF| |2020-09-08|Quantifying the Causal Effects of Conversational Tendencies |Abstract | PDF| |2020-09-08|Machine Intelligence for Outcome Predictions of Trauma Patients During Emergency Department Care |Abstract | PDF| |2020-09-07|Doubly Robust Semiparametric Difference-in-Differences Estimators with High-Dimensional Data |Abstract | PDF| |2020-09-07|Estimation of Structural Causal Model via Sparsely Mixing Independent Component Analysis |Abstract | PDF| |2020-09-07|Active Learning of Causal Structures with Deep Reinforcement Learning |Abstract | PDF| |2020-09-06|Discovering Reliable Causal Rules |Abstract | PDF| |2020-09-06|Once Upon A Time In Visualization: Understanding the Use of Textual Narratives for Causality |Abstract | PDF| |2020-09-06|Information Theoretic Counterfactual Learning from Missing-Not-At-Random Feedback |Abstract | PDF| |2020-06-22|A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model |Abstract | PDF| |2020-06-22|Provably Efficient Causal Reinforcement Learning with Confounded Observational Data |Abstract | PDF| |2020-06-22|ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion |Abstract | PDF| |2020-06-22|A polynomial-time algorithm for learning nonparametric causal graphs |Abstract | PDF| |2020-06-20|Counterfactually Guided Policy Transfer in Clinical Settings |Abstract | PDF| |2020-06-20|Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org |Abstract | PDF| |2020-06-19|Valid Causal Inference with (Some) Invalid Instruments |Abstract | PDF| |2020-06-18|Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data |Abstract | PDF| |2020-06-18|Learning Invariant Representations for Reinforcement Learning without Reconstruction |Abstract | PDF| |2020-06-18|Pre-trained Language Models as Symbolic Reasoners over Knowledge? |Abstract | PDF| |2020-06-17|Head2Head++: Deep Facial Attributes Re-Targeting |Abstract | PDF| |2020-06-17|TearingNet: Point Cloud Autoencoder to Learn Topology-Friendly Representations |Abstract | PDF| |2020-06-17|LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments |Abstract | PDF| |2020-06-17|Extending the Machine Learning Abstraction Boundary: A Complex Systems Approach to Incorporate Societal Context |Abstract | PDF| |2020-06-17|Adaptive, Rate-Optimal Testing in Instrumental Variables Models |Abstract | PDF| |2020-06-16|Isometric Graph Neural Networks |Abstract | PDF| |2020-06-16|Causal inference of brain connectivity from fMRI with $ψ$-Learning Incorporated Linear non-Gaussian Acyclic Model ($ψ$-LiNGAM) |Abstract | PDF| |2020-06-16|A Bayesian incorporated linear non-Gaussian acyclic model for multiple directed graph estimation to study brain emotion circuit development in adolescence |Abstract | PDF| |2020-06-16|Cogradient Descent for Bilinear Optimization |Abstract | PDF| |2020-06-16|Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks |Abstract | PDF| |2020-06-16|On the Variational Posterior of Dirichlet Process Deep Latent Gaussian Mixture Models |Abstract | PDF| |2020-06-16|Causal Knowledge Extraction from Scholarly Papers in Social Sciences |Abstract | PDF| |2020-06-15|Causal intersectionality for fair ranking |Abstract | PDF| |2020-06-15|Towards practical differentially private causal graph discovery |Abstract | PDF| |2020-06-15|COT-GAN: Generating Sequential Data via Causal Optimal Transport |Abstract | PDF| |2020-06-15|Causal Inference with Deep Causal Graphs |Abstract | [PDF](http://arxiv.org/pdf/2006.
