/arXausality

A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.

Primary LanguagePython

2018 / 3 / 15

Date Title Links
2018-03-13 SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning Abstract | PDF
2018-03-11 Detecting Nonlinear Causality in Multivariate Time Series with Sparse Additive Models Abstract | PDF
2018-03-10 ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting Abstract | PDF
2018-03-10 A Minimax Surrogate Loss Approach to Conditional Difference Estimation Abstract | PDF
2018-03-05 On Discrimination Discovery and Removal in Ranked Data using Causal Graph Abstract | PDF
2018-03-02 Detecting non-causal artifacts in multivariate linear regression models Abstract | PDF
2018-03-01 Deep Learning for Causal Inference Abstract | PDF
2018-02-28 Separators and Adjustment Sets in Causal Graphs: Complete Criteria and an Algorithmic Framework Abstract | PDF
2018-02-28 Computational Theories of Curiosity-Driven Learning Abstract | PDF
2018-02-28 Relational Neural Expectation Maximization: Unsupervised Discovery of Objects and their Interactions Abstract | PDF
2018-02-26 Shaping Influence and Influencing Shaping: A Computational Red Teaming Trust-based Swarm Intelligence Model Abstract | PDF
2018-02-26 Disentangling the independently controllable factors of variation by interacting with the world Abstract | PDF
2018-02-25 A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection Abstract | PDF
2018-02-23 Is Generator Conditioning Causally Related to GAN Performance? Abstract | PDF
2018-02-23 Learning Optimal Policies from Observational Data Abstract | PDF
2018-02-23 Double/De-Biased Machine Learning Using Regularized Riesz Representers Abstract | PDF
2018-02-23 Learning Weighted Representations for Generalization Across Designs Abstract | PDF
2018-02-23 Faithful Semantical Embedding of a Dyadic Deontic Logic in HOL Abstract | PDF
2018-02-22 Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus Abstract | PDF
2018-02-22 Learning Causally-Generated Stationary Time Series Abstract | PDF
2018-02-22 Path-Specific Counterfactual Fairness Abstract | PDF
2018-02-20 How to Tackle an Extremely Hard Learning Problem: Learning Causal Structures from Non-Experimental Data without the Faithfulness Assumption or the Like Abstract | PDF
2018-02-19 Analysis of Cause-Effect Inference via Regression Errors Abstract | PDF
2018-02-19 Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration Abstract | PDF
2018-02-19 Heron Inference for Bayesian Graphical Models Abstract | PDF
2018-02-18 Ab initio Algorithmic Causal Deconvolution of Intertwined Programs and Networks by Generative Mechanism Abstract | PDF

2018 / 2 / 17

Date Title Links
2018-02-15 DeepMatch: Balancing Deep Covariate Representations for Causal Inference Using Adversarial Training Abstract | PDF
2018-02-15 Reducing over-clustering via the powered Chinese restaurant process Abstract | PDF
2018-02-14 Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis Abstract | PDF
2018-02-14 Prophit: Causal inverse classification for multiple continuously valued treatment policies Abstract | PDF
2018-02-06 Granger-causal Attentive Mixtures of Experts Abstract | PDF
2018-02-06 How to Make Causal Inferences Using Texts Abstract | PDF
2018-02-02 Interpretable Deep Convolutional Neural Networks via Meta-learning Abstract | PDF
2018-02-02 Causal Learning and Explanation of Deep Neural Networks via Autoencoded Activations Abstract | PDF
2018-01-31 Nonparametric Quantile-Based Causal Discovery Abstract | PDF
2018-01-25 Discovering Markov Blanket from Multiple interventional Datasets Abstract | PDF
2018-01-22 Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data Abstract | PDF
2018-01-22 Offline A/B testing for Recommender Systems Abstract | PDF
2018-01-16 The Role of Conditional Independence in the Evolution of Intelligent Systems Abstract | PDF
2018-01-16 Reblur2Deblur: Deblurring Videos via Self-Supervised Learning Abstract | PDF
2018-01-12 Bayesian Quadrature for Multiple Related Integrals Abstract | PDF
2018-01-11 Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution Abstract | PDF
2018-01-11 Counterfactual equivalence for POMDPs, and underlying deterministic environments Abstract | PDF
2018-01-10 Reasoning about Unforeseen Possibilities During Policy Learning Abstract | PDF
2018-01-09 A Formalization of Kant's Second Formulation of the Categorical Imperative Abstract | PDF
2018-01-02 Accounting for hidden common causes when inferring cause and effect from observational data Abstract | PDF
2018-01-01 Local Causal States and Discrete Coherent Structures Abstract | PDF

2017 / 12 / 31

Date Title Links
2017-12-28 Orthogonal Machine Learning for Demand Estimation: High Dimensional Causal Inference in Dynamic Panels Abstract | PDF
2017-12-28 PixelSNAIL: An Improved Autoregressive Generative Model Abstract | PDF
2017-12-24 Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms Abstract | PDF
2017-12-22 Obtaining Accurate Probabilistic Causal Inference by Post-Processing Calibration Abstract | PDF
2017-12-21 Interventions over Predictions: Reframing the Ethical Debate for Actuarial Risk Assessment Abstract | PDF
2017-12-21 Robust Detection of Covariate-Treatment Interactions in Clinical Trials Abstract | PDF
2017-12-21 Truncated Variational Sampling for "Black Box" Optimization of Generative Models Abstract | PDF
2017-12-13 Learning Objectives for Treatment Effect Estimation Abstract | PDF
2017-12-13 Generic Machine Learning Inference on Heterogenous Treatment Effects in Randomized Experiments Abstract | PDF
2017-12-12 Causal Patterns: Extraction of multiple causal relationships by Mixture of Probabilistic Partial Canonical Correlation Analysis Abstract | PDF
2017-12-12 Transportation analysis of denoising autoencoders: a novel method for analyzing deep neural networks Abstract | PDF
2017-12-10 Causal Inference for Observational Time-Series with Encoder-Decoder Networks Abstract | PDF
2017-12-08 Crime prediction through urban metrics and statistical learning Abstract | PDF
2017-12-07 A Corpus of Deep Argumentative Structures as an Explanation to Argumentative Relations Abstract | PDF
2017-12-06 Learning General Latent-Variable Graphical Models with Predictive Belief Propagation and Hilbert Space Embeddings Abstract | PDF
2017-12-05 Autonomous development and learning in artificial intelligence and robotics: Scaling up deep learning to human--like learning Abstract | PDF
2017-12-04 Inferring agent objectives at different scales of a complex adaptive system Abstract | PDF
2017-12-04 Energy-relaxed Wasserstein GANs(EnergyWGAN): Towards More Stable and High Resolution Image Generation Abstract | PDF
2017-12-04 Learning Independent Causal Mechanisms Abstract | PDF
2017-12-03 Universal discrete-time reservoir computers with stochastic inputs and linear readouts using non-homogeneous state-affine systems Abstract | PDF
2017-12-01 Prediction-Constrained Topic Models for Antidepressant Recommendation Abstract | PDF
2017-12-01 Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference Abstract | PDF
2017-11-30 Radially-Distorted Conjugate Translations Abstract | PDF
2017-11-29 Causality Refined Diagnostic Prediction Abstract | PDF
2017-11-28 A reinforcement learning algorithm for building collaboration in multi-agent systems Abstract | PDF
2017-11-28 CAR-Net: Clairvoyant Attentive Recurrent Network Abstract | PDF
2017-11-26 Compressive Sensing of Color Images Using Nonlocal Higher Order Dictionary Abstract | PDF
2017-11-24 Causal Generative Neural Networks Abstract | PDF
2017-11-23 Identification of Strong Edges in AMP Chain Graphs Abstract | PDF
2017-11-23 Counterfactual Learning for Machine Translation: Degeneracies and Solutions Abstract | PDF
2017-11-22 Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition Abstract | PDF
2017-11-22 Causal nearest neighbor rules for optimal treatment regimes Abstract | PDF
2017-11-22 An Interpretable and Sparse Neural Network Model for Nonlinear Granger Causality Discovery Abstract | PDF
2017-11-21 Hierarchical internal representation of spectral features in deep convolutional networks trained for EEG decoding Abstract | PDF
2017-11-20 Better Agnostic Clustering Via Relaxed Tensor Norms Abstract | PDF
2017-11-19 Estimation Considerations in Contextual Bandits Abstract | PDF
2017-11-18 Robust Synthetic Control Abstract | PDF
2017-11-16 Using Noisy Extractions to Discover Causal Knowledge Abstract | PDF
2017-11-15 Good and safe uses of AI Oracles Abstract | PDF
2017-11-14 Simulating Action Dynamics with Neural Process Networks Abstract | PDF
2017-11-14 False Positive and Cross-relation Signals in Distant Supervision Data Abstract | PDF
2017-11-14 The Multi-layer Information Bottleneck Problem Abstract | PDF
2017-11-14 Unified Pragmatic Models for Generating and Following Instructions Abstract | PDF
2017-11-13 Faithful to the Original: Fact Aware Neural Abstractive Summarization Abstract | PDF
2017-11-11 A Sparse Graph-Structured Lasso Mixed Model for Genetic Association with Confounding Correction Abstract | PDF
2017-11-10 Document Context Neural Machine Translation with Memory Networks Abstract | PDF
2017-11-09 Exploiting ConvNet Diversity for Flooding Identification Abstract | PDF
2017-11-09 SHOPPER: A Probabilistic Model of Consumer Choice with Substitutes and Complements Abstract | PDF
2017-11-09 Regret Minimization in Behaviorally-Constrained Zero-Sum Games Abstract | PDF
2017-11-03 Partial correlation graphs and the neighborhood lattice Abstract | PDF
2017-11-02 A Universal Marginalizer for Amortized Inference in Generative Models Abstract | PDF
2017-11-01 TasNet: time-domain audio separation network for real-time, single-channel speech separation Abstract | PDF
2017-11-01 Beautiful and damned. Combined effect of content quality and social ties on user engagement Abstract | PDF
2017-11-01 Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR Abstract | PDF
2017-11-01 Orthogonal Machine Learning: Power and Limitations Abstract | PDF
2017-10-31 Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset Abstract | PDF
2017-10-31 Grouping-By-ID: Guarding Against Adversarial Domain Shifts Abstract | PDF
2017-10-31 Regret Minimization for Partially Observable Deep Reinforcement Learning Abstract | PDF
2017-10-30 An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition Abstract | PDF
2017-10-30 Implicit Causal Models for Genome-wide Association Studies Abstract | PDF
2017-10-25 Sufficient and necessary causation are dual Abstract | PDF
2017-10-24 Markov Properties for Graphical Models with Cycles and Latent Variables Abstract | PDF
2017-10-19 Reti bayesiane per lo studio del fenomeno degli incidenti stradali tra i giovani in Toscana Abstract | PDF
2017-10-19 SLING: A framework for frame semantic parsing Abstract | PDF
2017-10-16 Causal Rule Sets for Identifying Subgroups with Enhanced Treatment Effect Abstract | PDF
2017-10-13 Functional Decision Theory: A New Theory of Instrumental Rationality Abstract | PDF
2017-10-13 Potential Conditional Mutual Information: Estimators, Properties and Applications Abstract | PDF
2017-10-13 Dynamic texture recognition using time-causal and time-recursive spatio-temporal receptive fields Abstract | PDF
2017-10-13 Deep Learning for Case-Based Reasoning through Prototypes: A Neural Network that Explains Its Predictions Abstract | PDF
2017-10-11 Counterfactual Conditionals in Quantified Modal Logic Abstract | PDF
2017-10-10 Inference on Auctions with Weak Assumptions on Information Abstract | PDF
2017-10-10 ACCBench: A Framework for Comparing Causality Algorithms Abstract | PDF
2017-10-10 Prior Knowledge based mutation prioritization towards causal variant finding in rare disease Abstract | PDF
2017-10-10 Counterfactual Causality from First Principles? Abstract | PDF
2017-10-10 Causality and Temporal Dependencies in the Design of Fault Management Systems Abstract | PDF
2017-10-10 On Preemption and Overdetermination in Formal Theories of Causality Abstract | PDF
2017-10-09 Massive Open Online Courses Temporal Profiling for Dropout Prediction Abstract | PDF
2017-10-04 Counterfactual Language Model Adaptation for Suggesting Phrases Abstract | PDF
2017-10-03 Simulating Structure-from-Motion Abstract | PDF
2017-10-02 Learning Predictive Leading Indicators for Forecasting Time Series Systems with Unknown Clusters of Forecast Tasks Abstract | PDF
2017-09-26 Telling Cause from Effect using MDL-based Local and Global Regression Abstract | PDF
2017-09-19 Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning Abstract | PDF
2017-09-19 Estimating Mutual Information for Discrete-Continuous Mixtures Abstract | PDF
2017-09-16 A Causal And-Or Graph Model for Visibility Fluent Reasoning in Human-Object Interactions Abstract | PDF
2017-09-15 Embedding Deep Networks into Visual Explanations Abstract | PDF
2017-09-15 Granger Mediation Analysis of Multiple Time Series with an Application to fMRI Abstract | PDF
2017-09-15 Learning Functional Causal Models with Generative Neural Networks Abstract | PDF
2017-09-14 Random Forests of Interaction Trees for Estimating Individualized Treatment Effects in Randomized Trials Abstract | PDF
2017-09-13 A Comparison of Public Causal Search Packages on Linear, Gaussian Data with No Latent Variables Abstract | PDF
2017-09-13 On labeling Android malware signatures using minhashing and further classification with Structural Equation Models Abstract | PDF
2017-09-11 Budgeted Experiment Design for Causal Structure Learning Abstract | PDF
2017-09-11 Fairness Testing: Testing Software for Discrimination Abstract | PDF
2017-09-09 Steering Output Style and Topic in Neural Response Generation Abstract | PDF
2017-09-08 Causality-Aided Falsification Abstract | PDF
2017-09-07 Deep Learning the Physics of Transport Phenomena Abstract | PDF
2017-09-07 Learning from lions: inferring the utility of agents from their trajectories Abstract | PDF
2017-09-06 CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training Abstract | PDF
2017-09-05 Conditional independence testing based on a nearest-neighbor estimator of conditional mutual information Abstract | PDF
2017-09-03 Estimation of interventional effects of features on prediction Abstract | PDF
2017-09-03 Compressed Sensing MRI Reconstruction with Cyclic Loss in Generative Adversarial Networks Abstract | PDF
2017-08-30 Unsupervised Induction of Contingent Event Pairs from Film Scenes Abstract | PDF
2017-08-30 Inferring Narrative Causality between Event Pairs in Films Abstract | PDF
2017-08-30 Inference of Fine-Grained Event Causality from Blogs and Films Abstract | PDF
2017-08-30 Learning Fine-Grained Knowledge about Contingent Relations between Everyday Events Abstract | PDF
2017-08-23 Massively-Parallel Feature Selection for Big Data Abstract | PDF
2017-08-22 What caused what? An irreducible account of actual causation Abstract | PDF
2017-08-22 Learning Combinations of Sigmoids Through Gradient Estimation Abstract | PDF
2017-08-22 On Image Classification: Correlation v.s. Causality Abstract | PDF
2017-08-20 Perceptual audio loss function for deep learning Abstract | PDF
2017-08-18 Comparative Benchmarking of Causal Discovery Techniques Abstract | PDF
2017-08-16 Maximum A Posteriori Inference in Sum-Product Networks Abstract | PDF
2017-08-13 Mahalanonbis Distance Informed by Clustering Abstract | PDF
2017-08-11 Learning from Noisy Label Distributions Abstract | PDF
2017-08-09 Interacting with Acoustic Simulation and Fabrication Abstract | PDF
2017-08-08 Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS Diagnosis Abstract | PDF
2017-08-08 A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence Abstract | PDF
2017-08-07 Why adaptively collected data have negative bias and how to correct for it Abstract | PDF
2017-08-05 A causation coefficient and taxonomy of correlation/causation relationships Abstract | PDF
2017-08-03 Independently Controllable Factors Abstract | PDF
2017-08-02 Latent tree models Abstract | PDF
2017-07-31 Interpretable Active Learning Abstract | PDF
2017-07-31 Cost and Actual Causation Abstract | PDF
2017-07-28 Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation Abstract | PDF
2017-07-27 Detecting and Explaining Causes From Text For a Time Series Event Abstract | PDF
2017-07-26 Making the best of data derived from a daily practice in clinical legal medicine for research and practice - the example of Spe3dLab Abstract | PDF
2017-07-26 Using Program Induction to Interpret Transition System Dynamics Abstract | PDF
2017-07-23 Prediction-Constrained Training for Semi-Supervised Mixture and Topic Models Abstract | PDF
2017-07-20 The inflation technique solves completely the classical inference problem Abstract | PDF
2017-07-20 Causal Transfer Learning Abstract | PDF
2017-07-20 3D Shape Reconstruction from Sketches via Multi-view Convolutional Networks Abstract | PDF
2017-07-19 Computing LPMLN Using ASP and MLN Solvers Abstract | PDF
2017-07-19 FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference Abstract | PDF
2017-07-19 From Bach to the Beatles: The simulation of human tonal expectation using ecologically-trained predictive models Abstract | PDF
2017-07-18 On Adaptive Propensity Score Truncation in Causal Inference Abstract | PDF
2017-07-17 Trial without Error: Towards Safe Reinforcement Learning via Human Intervention Abstract | PDF
2017-07-15 Learning linear structural equation models in polynomial time and sample complexity Abstract | PDF
2017-07-13 Predicting Abandonment in Online Coding Tutorials Abstract | PDF
2017-07-13 Fast Restricted Causal Inference Abstract | PDF
2017-07-11 Learning like humans with Deep Symbolic Networks Abstract | PDF
2017-07-11 CHARDA: Causal Hybrid Automata Recovery via Dynamic Analysis Abstract | PDF
2017-07-09 Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition Abstract | PDF
2017-07-06 A causal framework for explaining the predictions of black-box sequence-to-sequence models Abstract | PDF
2017-07-05 Machine Learning Tests for Effects on Multiple Outcomes Abstract | PDF
2017-07-05 SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee Abstract | PDF
2017-07-04 Causal Consistency of Structural Equation Models Abstract | PDF
2017-07-01 Some methods for heterogeneous treatment effect estimation in high-dimensions Abstract | PDF
2017-06-30 Probabilistic Active Learning of Functions in Structural Causal Models Abstract | PDF
2017-06-30 Restricted Causal Inference Algorithm Abstract | PDF
2017-06-30 Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data Abstract | PDF
2017-06-26 On conditional parity as a notion of non-discrimination in machine learning Abstract | PDF
2017-06-19 Optimising the topological information of the $A_\infty$-persistence groups Abstract | PDF
2017-06-19 Deep Counterfactual Networks with Propensity-Dropout Abstract | PDF
2017-06-16 An online sequence-to-sequence model for noisy speech recognition Abstract | PDF
2017-06-15 Extracting Formal Models from Normative Texts Abstract | PDF
2017-06-14 Bias and high-dimensional adjustment in observational studies of peer effects Abstract | PDF
2017-06-14 Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics Abstract | PDF
2017-06-10 Causal Discovery in the Presence of Measurement Error: Identifiability Conditions Abstract | PDF
2017-06-09 TextureGAN: Controlling Deep Image Synthesis with Texture Patches Abstract | PDF
2017-06-08 A Deep Causal Inference Approach to Measuring the Effects of Forming Group Loans in Online Non-profit Microfinance Platform Abstract | PDF
2017-06-08 Avoiding Discrimination through Causal Reasoning Abstract | PDF
2017-06-07 Network Sketching: Exploiting Binary Structure in Deep CNNs Abstract | PDF
2017-06-06 A Minimal Solution for Two-view Focal-length Estimation using Two Affine Correspondences Abstract | PDF
2017-06-02 Learning causal Bayes networks using interventional path queries in polynomial time and sample complexity Abstract | PDF
2017-05-30 A Tale of Two Animats: What does it take to have goals? Abstract | PDF
2017-05-30 Strength Factors: An Uncertainty System for a Quantified Modal Logic Abstract | PDF
2017-05-29 Fair Inference On Outcomes Abstract | PDF
2017-05-29 Learning Belief Network Structure From Data under Causal Insufficiency Abstract | PDF
2017-05-27 Targeted Learning with Daily EHR Data Abstract | PDF
2017-05-27 Deep Learning for Spatio-Temporal Modeling: Dynamic Traffic Flows and High Frequency Trading Abstract | PDF
2017-05-26 Learning Causal Structures Using Regression Invariance Abstract | PDF
2017-05-25 Fast Causal Inference with Non-Random Missingness by Test-Wise Deletion Abstract | PDF
2017-05-24 Cultural Diffusion and Trends in Facebook Photographs Abstract | PDF
2017-05-24 Counterfactual Multi-Agent Policy Gradients Abstract | PDF
2017-05-24 Causal Effect Inference with Deep Latent-Variable Models Abstract | PDF
2017-05-23 Explaining Transition Systems through Program Induction Abstract | PDF
2017-05-22 Use Privacy in Data-Driven Systems: Theory and Experiments with Machine Learnt Programs Abstract | PDF
2017-05-21 Instrument-Armed Bandits Abstract | PDF
2017-05-20 Bayesian Belief Updating of Spatiotemporal Seizure Dynamics Abstract | PDF
2017-05-19 RankPL: A Qualitative Probabilistic Programming Language Abstract | PDF
2017-05-19 Model-Robust Counterfactual Prediction Method Abstract | PDF
2017-05-19 Beyond similarity assessment: Selecting the optimal model for sequence alignment via the Factorized Asymptotic Bayesian algorithm Abstract | PDF
2017-05-16 GP CaKe: Effective brain connectivity with causal kernels Abstract | PDF
2017-05-16 New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning - Abstract | PDF
2017-05-15 Constrained Bayesian Networks: Theory, Optimization, and Applications Abstract | PDF
2017-05-11 Reducing Bias in Production Speech Models Abstract | PDF
2017-05-05 Group invariance principles for causal generative models Abstract | PDF
2017-05-02 Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California Abstract | PDF
2017-04-28 Learning Quadratic Variance Function (QVF) DAG models via OverDispersion Scoring (ODS) Abstract | PDF
2017-04-26 Identifying Similarities in Epileptic Patients for Drug Resistance Prediction Abstract | PDF
2017-04-24 Being Negative but Constructively: Lessons Learnt from Creating Better Visual Question Answering Datasets Abstract | PDF
2017-04-24 Target Oriented High Resolution SAR Image Formation via Semantic Information Guided Regularizations Abstract | PDF
2017-04-19 Generative Face Completion Abstract | PDF
2017-04-19 Derivation of the Asymptotic Eigenvalue Distribution for Causal 2D-AR Models under Upscaling Abstract | PDF
2017-04-17 The Causality/Repair Connection in Databases: Causality-Programs Abstract | PDF
2017-04-10 Unsupervised prototype learning in an associative-memory network Abstract | PDF
2017-04-10 Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes Abstract | PDF
2017-04-09 Mixed Graphical Models for Causal Analysis of Multi-modal Variables Abstract | PDF
2017-04-06 Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions Abstract | PDF
2017-04-06 Robust Causal Estimation in the Large-Sample Limit without Strict Faithfulness Abstract | PDF
2017-04-03 A comparative study of counterfactual estimators Abstract | PDF
2017-03-31 The Risk of Machine Learning Abstract | PDF
2017-03-31 A New Measure of Conditional Dependence Abstract | PDF
2017-03-30 Reliable Decision Support using Counterfactual Models Abstract | PDF
2017-03-30 Interpretable Learning for Self-Driving Cars by Visualizing Causal Attention Abstract | PDF
2017-03-27 A Visual Measure of Changes to Weighted Self-Organizing Map Patterns Abstract | PDF
2017-03-20 Counterfactual Fairness Abstract | PDF
2017-03-20 Foundations for a Probabilistic Event Calculus Abstract | PDF
2017-03-20 Artificial Intelligence and Economic Theories Abstract | PDF
2017-03-17 Effective Evaluation using Logged Bandit Feedback from Multiple Loggers Abstract | PDF
2017-03-16 Causal Inference through the Method of Direct Estimation Abstract | PDF
2017-03-16 Generalised Reichenbachian Common Cause Systems Abstract | PDF
2017-03-15 Deep learning with convolutional neural networks for EEG decoding and visualization Abstract | PDF
2017-03-14 A statistical model for aggregating judgments by incorporating peer predictions Abstract | PDF
2017-03-13 Probabilistic Matching: Causal Inference under Measurement Errors Abstract | PDF
2017-03-11 Learning Large-Scale Bayesian Networks with the sparsebn Package Abstract | PDF
2017-03-10 Right for the Right Reasons: Training Differentiable Models by Constraining their Explanations Abstract | PDF
2017-03-09 Counterfactuals, indicative conditionals, and negation under uncertainty: Are there cross-cultural differences? Abstract | PDF
2017-03-09 Abductive, Causal, and Counterfactual Conditionals Under Incomplete Probabilistic Knowledge Abstract | PDF
2017-03-08 Efficient Simulation of Financial Stress Testing Scenarios with Suppes-Bayes Causal Networks Abstract | PDF
2017-03-08 Learning the Probabilistic Structure of Cumulative Phenomena with Suppes-Bayes Causal Networks Abstract | PDF
2017-03-08 Combining Bayesian Approaches and Evolutionary Techniques for the Inference of Breast Cancer Networks Abstract | PDF
2017-03-08 Cost-Optimal Learning of Causal Graphs Abstract | PDF
2017-03-03 Bridging Saliency Detection to Weakly Supervised Object Detection Based on Self-paced Curriculum Learning Abstract | PDF
2017-03-03 Learning Identifiable Gaussian Bayesian Networks in Polynomial Time and Sample Complexity Abstract | PDF
2017-02-28 Achieving non-discrimination in prediction Abstract | PDF
2017-02-28 Do Reichenbachian Common Cause Systems of Arbitrary Finite Size Exist? Abstract | PDF
2017-02-27 Optimal Experiment Design for Causal Discovery from Fixed Number of Experiments Abstract | PDF
2017-02-27 Semi-parametric Network Structure Discovery Models Abstract | PDF
2017-02-23 Causal Discovery Using Proxy Variables Abstract | PDF
2017-02-22 Causal Inference by Stochastic Complexity Abstract | PDF
2017-02-22 Counterfactual Control for Free from Generative Models Abstract | PDF
2017-02-22 Social Learning and Diffusion of Pervasive Goods: An Empirical Study of an African App Store Abstract | PDF
2017-02-21 Causal Inference on Multivariate and Mixed-Type Data Abstract | PDF
2017-02-16 Theoretical and Practical Advances on Smoothing for Extensive-Form Games Abstract | PDF
2017-02-15 Simple rules for complex decisions Abstract | PDF
2017-02-13 The Causal Role of Astrocytes in Slow-Wave Rhythmogenesis: A Computational Modelling Study Abstract | PDF
2017-02-13 Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery Abstract | PDF
2017-02-10 $L_2$Boosting for Economic Applications Abstract | PDF
2017-02-09 Efficient Policy Learning Abstract | PDF
2017-02-08 Causal Regularization Abstract | PDF
2017-02-07 Trimming the Independent Fat: Sufficient Statistics, Mutual Information, and Predictability from Effective Channel States Abstract | PDF
2017-02-03 Energy Prediction using Spatiotemporal Pattern Networks Abstract | PDF
2017-01-30 Interaction Information for Causal Inference: The Case of Directed Triangle Abstract | PDF
2017-01-30 Double/Debiased/Neyman Machine Learning of Treatment Effects Abstract | PDF
2017-01-28 Entropic Causality and Greedy Minimum Entropy Coupling Abstract | PDF
2017-01-26 The Causal Frame Problem: An Algorithmic Perspective Abstract | PDF
2017-01-26 Riemannian-geometry-based modeling and clustering of network-wide non-stationary time series: The brain-network case Abstract | PDF
2017-01-25 Does Weather Matter? Causal Analysis of TV Logs Abstract | PDF
2017-01-23 Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables Abstract | PDF
2017-01-19 Estimating Individual Treatment Effect in Observational Data Using Random Forest Methods Abstract | PDF
2017-01-11 Modeling Retinal Ganglion Cell Population Activity with Restricted Boltzmann Machines Abstract | PDF
2017-01-10 Bidirectional American Sign Language to English Translation Abstract | PDF
2017-01-10 Identifying Best Interventions through Online Importance Sampling Abstract | PDF
2017-01-09 Temporal scale selection in time-causal scale space Abstract | PDF
2017-01-08 Multi-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis Abstract | PDF
2017-01-05 Crime Topic Modeling Abstract | PDF
2017-01-04 Learning causal effects from many randomized experiments using regularized instrumental variables Abstract | PDF
2017-01-03 Semidefinite tests for latent causal structures Abstract | PDF
2017-01-03 Deep Convolutional Neural Networks for Pairwise Causality Abstract | PDF