Causal Inference

Causal inference is the process of drawing a conclusion about a causal connection based on the conditions of the occurrence of an effect. The main difference between causal inference and inference of association is that the former analyzes the response of the effect variable when the cause is changed.

Latest Papers

PAPER DATE
Biased Stochastic First-Order Methods for Conditional Stochastic Optimization and Applications in Meta Learning
Yifan HuSiqi ZhangXin ChenNiao He
2020-12-01
Causal Estimation with Functional Confounders
Aahlad Manas PuliAdler Perotte Rajesh Ranganath
2020-12-01
General Transportability of Soft Interventions: Completeness Results
Juan CorreaElias Bareinboim
2020-12-01
Learning Causal Effects via Weighted Empirical Risk Minimization
Yonghan JungJin TianElias Bareinboim
2020-12-01
Adversarial Counterfactual Learning and Evaluation for Recommender System
Da XuChuanwei RuanEvren KorpeogluSushant KumarKannan Achan
2020-12-01
Entropic Causal Inference: Identifiability and Finite Sample Results
Spencer ComptonMurat KocaogluKristjan GreenewaldDmitriy Katz
2020-12-01
Minimax Optimal Nonparametric Estimation of Heterogeneous Treatment Effects
Zijun GaoYanjun Han
2020-12-01
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Hyemi KimSeungjae ShinJoonHo JangKyungwoo SongWeonyoung JooWanmo KangIl-Chul Moon
2020-11-24
Invariant Representation Learning for Treatment Effect Estimation
Claudia ShiVictor VeitchDavid Blei
2020-11-24
A systematic review of causal methods enabling predictions under hypothetical interventions
Lijing LinMatthew SperrinDavid A. JenkinsGlen P. MartinNiels Peek
2020-11-19
Split-Treatment Analysis to Rank Heterogeneous Causal Effects for Prospective Interventions
| Yanbo XuDivyat MahajanLiz ManraoAmit SharmaEmre Kiciman
2020-11-11
Teaching deep learning causal effects improves predictive performance
Jia LiXiaowei JiaHaoYu YangVipin KumarMichael SteinbachGyorgy Simon
2020-11-11
Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End
Ramaravind K. MothilalDivyat MahajanChenhao TanAmit Sharma
2020-11-10
DoWhy: An End-to-End Library for Causal Inference
| Amit SharmaEmre Kiciman
2020-11-09
Causal Autoregressive Flows
Ilyes KhemakhemRicardo Pio MontiRobert LeechAapo Hyvärinen
2020-11-04
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks
Minshuo ChenHao liuWenjing LiaoTuo Zhao
2020-11-03
Causal Campbell-Goodhart's law and Reinforcement Learning
| Hal Ashton
2020-11-02
Structural Causal Model with Expert Augmented Knowledge to Estimate the Effect of Oxygen Therapy on Mortality in the ICU
Md Osman GaniShravan KethireddyMarvi BikakPaul GriffinMohammad Adibuzzaman
2020-10-28
CaM-Gen:Causally-aware Metric-guided Text Generation
Navita GoyalRoodram PaneriAyush AgarwalUdit KalaniAbhilasha SanchetiNiyati Chhaya
2020-10-24
Counterfactual Representation Learning with Balancing Weights
Serge AssaadShuxi ZengChenyang TaoShounak DattaNikhil MehtaRicardo HenaoFan LiLawrence Carin
2020-10-23
Causal Discovery using Compression-Complexity Measures
| Pranay SYNithin Nagaraj
2020-10-19
Poincare: Recommending Publication Venues via Treatment Effect Estimation
Ryoma SatoMakoto YamadaHisashi Kashima
2020-10-19
Causal Inference in the Presence of Interference in Sponsored Search Advertising
Razieh NabiJoel PfeifferMurat Ali BayirDenis CharlesEmre Kiciman
2020-10-15
Causal Multi-Level Fairness
Vishwali MhasawadeRumi Chunara
2020-10-14
Causal Feature Selection with Dimension Reduction for Interpretable Text Classification
Guohou ShanJames FouldsSHimei Pan
2020-10-09
On a necessary and sufficient identification condition of optimal treatment regimes with an instrumental variable
Yifan CuiEric Tchetgen Tchetgen
2020-10-07
Using Experimental Data to Evaluate Methods for Observational Causal Inference
Amanda GentzelJustin ClarkeDavid Jensen
2020-10-06
Long-Tailed Classification by Keeping the Good and Removing the Bad Momentum Causal Effect
| Kaihua TangJianqiang HuangHanwang Zhang
2020-09-28
Targeted VAE: Structured Inference and Targeted Learning for Causal Parameter Estimation
Matthew James VowelsNecati Cihan CamgozRichard Bowden
2020-09-28
Causal Intervention for Weakly-Supervised Semantic Segmentation
| Dong ZhangHanwang ZhangJinhui TangXian-Sheng HuaQianru Sun
2020-09-26
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Galen WeldPeter WestMaria GlenskiDavid ArbourRyan RossiTim Althoff
2020-09-21
Hidden Latent State Inference in a Spatio-Temporal Generative Model
Matthias KarlbauerTobias MengeSebastian OtteHendrik P. A. LenschThomas ScholtenVolker WulfmeyerMartin V. Butz
2020-09-21
Chemical Property Prediction Under Experimental Biases
Yang LiuHisashi Kashima
2020-09-18
Understanding Effects of Editing Tweets for News Sharing by Media Accounts through a Causal Inference Framework
| Kunwoo ParkHaewoon KwakJisun AnSanjay Chawla
2020-09-17
Estimating Individual Treatment Effects using Non-Parametric Regression Models: a Review
Alberto CaronIoanna ManolopoulouGianluca Baio
2020-09-14
Semi-supervised learning and the question of true versus estimated propensity scores
Andrew HerrenP. Richard Hahn
2020-09-14
Quantifying the Causal Effects of Conversational Tendencies
Justine ZhangSendhil MullainathanCristian Danescu-Niculescu-Mizil
2020-09-08
Causal Inference in Possibly Nonlinear Factor Models
Yingjie Feng
2020-08-31
Path Dependent Structural Equation Models
Ranjani SrinivasanJaron LeeRohit BhattacharyaNarges AhmidiIlya Shpitser
2020-08-24
Hi-CI: Deep Causal Inference in High Dimensions
Ankit SharmaGarima GuptaRanjitha PrasadArnab ChatterjeeLovekesh VigGautam Shroff
2020-08-22
Long-Term Effect Estimation with Surrogate Representation
Lu ChengRuocheng GuoHuan Liu
2020-08-19
Estimation of causal effects of multiple treatments in healthcare database studies with rare outcomes
Liangyuan HuChenyang Gu
2020-08-18
Estimating Causal Effects with the Neural Autoregressive Density Estimator
Sergio GarridoStanislav S. BorysovJeppe RichFrancisco C. Pereira
2020-08-17
Estimating heterogeneous survival treatment effect in observational data using machine learning
| Liangyuan HuJiayi JiFan Li
2020-08-17
Structural Causal Models Are (Solvable by) Credal Networks
| Marco ZaffalonAlessandro AntonucciRafael Cabañas
2020-08-02
Naïve regression requires weaker assumptions than factor models to adjust for multiple cause confounding
Justin GrimmerDean KnoxBrandon M. Stewart
2020-07-24
Computational Causal Inference
Jeffrey C. Wong
2020-07-21
Autoregressive flow-based causal discovery and inference
| Ricardo Pio MontiIlyes KhemakhemAapo Hyvarinen
2020-07-18
When deep learning meets causal inference: a computational framework for drug repurposing from real-world data
| Ruoqi LiuLai WeiPing Zhang
2020-07-16
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam WittyKenta TakatsuDavid JensenVikash Mansinghka
2020-07-14
Learning to search efficiently for causally near-optimal treatments
Samuel HåkanssonViktor LindblomOmer GottesmanFredrik D. Johansson
2020-07-02
A Causally Formulated Hazard Ratio Estimation through Backdoor Adjustment on Structural Causal Model
Riddhiman AdibPaul GriffinSheikh Iqbal AhamedMohammad Adibuzzaman
2020-06-22
Mitigating Bias in Online Microfinance Platforms: A Case Study on Kiva.org
Soumajyoti SarkarHamidreza Alvari
2020-06-20
Disentangling User Interest and Popularity Bias for Recommendation with Causal Embedding
| Yu ZhengChen GaoXiang LiXiangnan HeYong LiDepeng Jin
2020-06-19
Causal intersectionality for fair ranking
| Ke YangJoshua R. LoftusJulia Stoyanovich
2020-06-15
Learning Individually Inferred Communication for Multi-Agent Cooperation
Ziluo DingTiejun HuangZongqing Lu
2020-06-11
Regret Minimization for Causal Inference on Large Treatment Space
Akira TanimotoTomoya SakaiTakashi TakenouchiHisashi Kashima
2020-06-10
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects
| Qiming DuGérard BiauFrançois PetitRaphaël Porcher
2020-06-08
Identifying Causal Structure in Dynamical Systems
| Dominik BaumannFriedrich SolowjowKarl H. JohanssonSebastian Trimpe
2020-06-06
Causality and Batch Reinforcement Learning: Complementary Approaches To Planning In Unknown Domains
James BannonBrad WindsorWenbo SongTao Li
2020-06-03
Navigated Weighting to Improve Inverse Probability Weighting for Missing Data Problems and Causal Inference
Hiroto Katsumata
2020-05-22
Studying Product Competition Using Representation Learning
Fanglin ChenXiao LiuDavide ProserpioIsamar TroncosoFeiyu Xiong
2020-05-21
Principal Fairness for Human and Algorithmic Decision-Making
Kosuke ImaiZhichao Jiang
2020-05-21
Automatic Detection of Influential Actors in Disinformation Networks
Steven T. SmithEdward K. KaoErika D. MackinDanelle C. ShahOlga SimekDonald B. Rubin
2020-05-21
Causal Modeling of Twitter Activity During COVID-19
| Oguzhan GencogluMathias Gruber
2020-05-16
A theoretical treatment of conditional independence testing under Model-X
Eugene KatsevichAaditya Ramdas
2020-05-12
Counterfactual Propagation for Semi-Supervised Individual Treatment Effect Estimation
Shonosuke HaradaHisashi Kashima
2020-05-11
Constraint-Based Causal Discovery using Partial Ancestral Graphs in the presence of Cycles
Joris M. MooijTom Claassen
2020-05-01
Does Terrorism Trigger Online Hate Speech? On the Association of Events and Time Series
| Erik ScharwächterEmmanuel Müller
2020-04-30
Causal Modeling with Stochastic Confounders
Thanh Vinh VoPengfei WeiWicher BergsmaTze-Yun Leong
2020-04-24
Machine learning for causal inference: on the use of cross-fit estimators
Paul N ZivichAlexander Breskin
2020-04-21
Causal Inference in Case-Control Studies
| Sung Jae JunSokbae Lee
2020-04-17
A Practical Introduction to Bayesian Estimation of Causal Effects: Parametric and Nonparametric Approaches
| Arman OganisianJason A. Roy
2020-04-15
A category theoretical argument for causal inference
Rémy Tuyéras
2020-04-09
Causal Relational Learning
Babak SalimiHarsh ParikhMoe KayaliSudeepa RoyLise GetoorDan Suciu
2020-04-07
ParKCa: Causal Inference with Partially Known Causes
| Raquel AokiMartin Ester
2020-03-17
Invariant Causal Prediction for Block MDPs
| Amy ZhangClare LyleShagun SodhaniAngelos FilosMarta KwiatkowskaJoelle PineauYarin GalDoina Precup
2020-03-12
Towards Clarifying the Theory of the Deconfounder
Yixin WangDavid M. Blei
2020-03-10
Who Make Drivers Stop? Towards Driver-centric Risk Assessment: Risk Object Identification via Causal Inference
Chengxi LiStanley H. ChanYi-Ting Chen
2020-03-05
Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding
| Victor VeitchAnisha Zaveri
2020-03-03
Unbiased Scene Graph Generation from Biased Training
| Kaihua TangYulei NiuJianqiang HuangJiaxin ShiHanwang Zhang
2020-02-27
MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models
| Imke MayerJulie JosseFélix RaimundoJean-Philippe Vert
2020-02-25
Biased Stochastic Gradient Descent for Conditional Stochastic Optimization
Yifan HuSiqi ZhangXin ChenNiao He
2020-02-25
CausalML: Python Package for Causal Machine Learning
| Huigang ChenTotte HarinenJeong-Yoon LeeMike YungZhenyu Zhao
2020-02-25
Fairness through Experimentation: Inequality in A/B testing as an approach to responsible design
Guillaume Saint-JacquesAmir SepehriNicole LiIgor Perisic
2020-02-14
Causality in cognitive neuroscience: concepts, challenges, and distributional robustness
Sebastian WeichwaldJonas Peters
2020-02-14
Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution Scanning Transmission Electron Microscopy data
Maxim ZiatdinovChris NelsonXiaohang ZhangRama VasudevanEugene EliseevAnna N. MorozovskaIchiro TakeuchiSergei V. Kalinin
2020-02-11
Simulating longitudinal data from marginal structural models using the additive hazard model
Ruth H. KeoghShaun R. SeamanJon Michael GranStijn Vansteelandt
2020-02-10
On Geometry of Information Flow for Causal Inference
Sudam SurasingheErik M. Bollt
2020-02-06
A Survey on Causal Inference
Liuyi YaoZhixuan ChuSheng LiYaliang LiJing GaoAidong Zhang
2020-02-05
Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
| Chainarong AmornbunchornvejElena ZhelevaTanya Berger-Wolf
2020-02-01
Inferring Individual Level Causal Models from Graph-based Relational Time Series
Ryan RossiSomdeb SarkhelNesreen Ahmed
2020-01-16
Combining Offline Causal Inference and Online Bandit Learning for Data Driven Decision
Li YeYishi LinHong XieJohn C. S. Lui
2020-01-16
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond
| Nathan KallusXiaojie MaoMasatoshi Uehara
2019-12-30
Counterfactual Evaluation of Treatment Assignment Functions with Networked Observational Data
Ruocheng GuoJundong LiHuan Liu
2019-12-22
Causal Inference and Data-Fusion in Econometrics
Paul HünermundElias Bareinboim
2019-12-19
Variable-lag Granger Causality for Time Series Analysis
| Chainarong AmornbunchornvejElena ZhelevaTanya Y. Berger-Wolf
2019-12-18
More Efficient Off-Policy Evaluation through Regularized Targeted Learning
Aurélien F. BibautIvana MalenicaNikos VlassisMark J. Van Der Laan
2019-12-13
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
Ankit SharmaGarima GuptaRanjitha PrasadArnab ChatterjeeLovekesh VigGautam Shroff
2019-12-09
Using Machine Learning to Assess Short Term Causal Dependence and Infer Network Links
Amitava BanerjeeJaideep PathakRajarshi RoyJuan G. RestrepoEdward Ott
2019-12-05
Perceiving the arrow of time in autoregressive motion
Kristof MedingDominik JanzingBernhard SchölkopfFelix A. Wichmann
2019-12-01
A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits
Wenhao ZhangSi WuBrent DoironTai Sing Lee
2019-12-01
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework
Abhishek ChakraborttyJiarui LuT. Tony CaiHongzhe Li
2019-11-26
Algorithmic Bias in Recidivism Prediction: A Causal Perspective
Aria KhademiVasant Honavar
2019-11-24
Causally Denoise Word Embeddings Using Half-Sibling Regression
| Zekun YangTianlin Liu
2019-11-24
Causality for Machine Learning
Bernhard Schölkopf
2019-11-24
RSM-GAN: A Convolutional Recurrent GAN for Anomaly Detection in Contaminated Seasonal Multivariate Time Series
Farzaneh KhoshnevisanZhewen Fan
2019-11-16
Causal inference using Bayesian non-parametric quasi-experimental design
| Max HinneMarcel A. J. van GervenLuca Ambrogioni
2019-11-15
Causal Inference via Conditional Kolmogorov Complexity using MDL Binning
Daniel GoldfarbScott Evans
2019-10-31
Causal inference for climate change events from satellite image time series using computer vision and deep learning
Vikas Ramachandra
2019-10-25
Strategic Classification is Causal Modeling in Disguise
John MillerSmitha MilliMoritz Hardt
2019-10-23
Doubly robust treatment effect estimation with missing attributes
Imke MayerErik SverdrupTobias GaussJean-Denis MoyerStefan WagerJulie Josse
2019-10-23
Leveraging directed causal discovery to detect latent common causes
Ciarán M. LeeChristopher HartJonathan G. RichensSaurabh Johri
2019-10-22
Optimising Individual-Treatment-Effect Using Bandits
| Jeroen BerrevoetsSam VerbovenWouter Verbeke
2019-10-16
Comment on "Blessings of Multiple Causes"
Elizabeth L. OgburnIlya ShpitserEric J. Tchetgen Tchetgen
2019-10-11
Kernel-based Approach to Handle Mixed Data for Inferring Causal Graphs
Teny HandhayaniJames Cussens
2019-10-07
Spike-based causal inference for weight alignment
| Jordan GuerguievKonrad P. KordingBlake A. Richards
2019-10-03
Debiased Bayesian inference for average treatment effects
| Kolyan RayBotond Szabo
2019-09-26
Using the Prognostic Score to Reduce Heterogeneity in Observational Studies
Rachael C. AikensDylan GreavesMichael Baiocchi
2019-08-24
Causal discovery in heavy-tailed models
Nicola GneccoNicolai MeinshausenJonas PetersSebastian Engelke
2019-08-14
Multi-cause causal inference with unmeasured confounding and binary outcome
Dehan KongShu YangLinbo Wang
2019-07-31
A neural network oracle for quantum nonlocality problems in networks
| Tamás KriváchyYu CaiDaniel CavalcantiArash TavakoliNicolas GisinNicolas Brunner
2019-07-24
A discriminative approach for finding and characterizing positivity violations using decision trees
Ehud KaravaniPeter BakYishai Shimoni
2019-07-18
Quantifying Error in the Presence of Confounders for Causal Inference
Rathin DesaiAmit Sharma
2019-07-10
Adjustment Criteria for Recovering Causal Effects from Missing Data
Mojdeh SaadatiJin Tian
2019-07-02
A Bayesian Solution to the M-Bias Problem
David Rohde
2019-06-17
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation
| Yikun XianZuohui FuS. MuthukrishnanGerard de MeloYongfeng Zhang
2019-06-12
Learning Individual Causal Effects from Networked Observational Data
| Ruocheng GuoJundong LiHuan Liu
2019-06-08
Adapting Neural Networks for the Estimation of Treatment Effects
| Claudia ShiDavid M. BleiVictor Veitch
2019-06-05
The Secrets of Machine Learning: Ten Things You Wish You Had Known Earlier to be More Effective at Data Analysis
Cynthia RudinDavid Carlson
2019-06-04
An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference
| Yishai ShimoniEhud KaravaniSivan RavidPeter BakTan Hung NgSharon Hensley AlfordDenise MeadeYaara Goldschmidt
2019-06-02
Rarely-switching linear bandits: optimization of causal effects for the real world
Benjamin LansdellSofia TriantafillouKonrad Kording
2019-05-30
Multiple Causes: A Causal Graphical View
Yixin WangDavid M. Blei
2019-05-30
Heterogeneous causal effects with imperfect compliance: a novel Bayesian machine learning approach
Falco J. Bargagli-StoffiKristof De-WitteGiorgio Gnecco
2019-05-29
Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization
Yifan HuXin ChenNiao He
2019-05-28
Contrastive Fairness in Machine Learning
Tapabrata ChakrabortiArijit PatraAlison Noble
2019-05-17
An End-to-End Framework to Identify Pathogenic Social Media Accounts on Twitter
Elham ShaabaniAshkan Sadeghi-MobarakehHamidreza AlvariPaulo Shakarian
2019-05-04
Learning Information Propagation in the Dynamical Systems via Information Bottleneck Hierarchy
Gaurav GuptaMohamed Ridha ZnaidiPaul Bogdan
2019-05-01
Adversarial Balancing-based Representation Learning for Causal Effect Inference with Observational Data
| Xin DuLei SunWouter DuivesteijnAlexander NikolaevMykola Pechenizkiy
2019-04-30
A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts
Ezequiel SmuclerAndrea RotnitzkyJames M. Robins
2019-04-07
What can be estimated? Identifiability, estimability, causal inference and ill-posed inverse problems
Oliver J. MaclarenRuanui Nicholson
2019-04-04
Machine Learning Methods Economists Should Know About
Susan AtheyGuido Imbens
2019-03-24
Weighted Tensor Completion for Time-Series Causal Inference
| Debmalya MandalDavid Parkes
2019-02-12
Using Embeddings to Correct for Unobserved Confounding in Networks
| Victor VeitchYixin WangDavid M. Blei
2019-02-11
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks
| Chao-Han Huck YangYi-Chieh LiuPin-Yu ChenXiaoli MaYi-Chang James Tsai
2019-02-09
Causal Effect Identification from Multiple Incomplete Data Sources: A General Search-based Approach
| Santtu TikkaAntti HyttinenJuha Karvanen
2019-02-04
Time Series Deconfounder: Estimating Treatment Effects over Time in the Presence of Hidden Confounders
| Ioana BicaAhmed M. AlaaMihaela van der Schaar
2019-02-01
Causal Discovery with a Mixture of DAGs
Eric V. Strobl
2019-01-28
Causal Mediation Analysis Leveraging Multiple Types of Summary Statistics Data
Yongjin ParkAbhishek SarkarKhoi NguyenManolis Kellis
2019-01-24
Causal mediation analysis for stochastic interventions
| Iván DíazNima Hejazi
2019-01-09
A Bayesian Model for Bivariate Causal Inference
Maximilian KurthenTorsten A. Enßlin
2018-12-24
Balanced Linear Contextual Bandits
Maria DimakopoulouZhengyuan ZhouSusan AtheyGuido Imbens
2018-12-15
Causal inference, social networks, and chain graphs
Elizabeth L. OgburnIlya ShpitserYoujin Lee
2018-12-12
Explainable Genetic Inheritance Pattern Prediction
Edmond CunninghamDana SchlegelAndrew DeOrio
2018-12-01
Identification and Estimation of Causal Effects from Dependent Data
Eli ShermanIlya Shpitser
2018-12-01
Causal Inference by String Diagram Surgery
Bart JacobsAleks KissingerFabio Zanasi
2018-11-20
Explaining Deep Learning Models using Causal Inference
Tanmayee NarendraAnush SankaranDeepak VijaykeerthySenthil Mani
2018-11-11
Removing Hidden Confounding by Experimental Grounding
Nathan KallusAahlad Manas PuliUri Shalit
2018-10-27
Challenges of Using Text Classifiers for Causal Inference
| Zach Wood-DoughtyIlya ShpitserMark Dredze
2018-10-01
Early Identification of Pathogenic Social Media Accounts
Hamidreza AlvariElham ShaabaniPaulo Shakarian
2018-09-25
Evaluating Fairness Metrics in the Presence of Dataset Bias
J. Henry HinnefeldPeter CoomanNat MammoRupert Deese
2018-09-24
Causal Inference and Mechanism Clustering of A Mixture of Additive Noise Models
| Shoubo HuZhitang ChenVahid Partovi NiaLaiwan ChanYanhui Geng
2018-09-23
Learning Optimal Fair Policies
Razieh NabiDaniel MalinskyIlya Shpitser
2018-09-06
Understanding Perceptual and Conceptual Fluency at a Large Scale
Shengli HuAli Borji
2018-09-01
Transfer Learning for Estimating Causal Effects using Neural Networks
Sören R. KünzelBradly C. StadieNikita VemuriVarsha RamakrishnanJasjeet S. SekhonPieter Abbeel
2018-08-23
Discovering Context Specific Causal Relationships
Saisai MaJiuyong LiLin LiuThuc Duy Le
2018-08-20
Effect of secular trend in drug effectiveness study in real world data
Sharon Hensley AlfordPiyush MadanShilpa MahatmaItalo BulejeYanyan HanFang Lu
2018-08-18
Estimating Heterogeneous Causal Effects in the Presence of Irregular Assignment Mechanisms
Falco J. Bargagli-StoffiGiorgio Gnecco
2018-08-13
Local Linear Forests
| Rina FriedbergJulie TibshiraniSusan AtheyStefan Wager
2018-07-30
Cause-Effect Deep Information Bottleneck For Systematically Missing Covariates
Sonali ParbhooMario WieserAleksander WieczorekVolker Roth
2018-07-06
Causal Inference for Early Detection of Pathogenic Social Media Accounts
Hamidreza AlvariPaulo Shakarian
2018-06-26
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
| Nathan KallusXiaojie MaoMadeleine Udell
2018-06-03
Too Fast Causal Inference under Causal Insufficiency
Mieczysław A. Kłopotek
2018-05-30
Counterfactual Mean Embeddings
Krikamol MuandetMotonobu KanagawaSorawit SaengkyongamSanparith Marukatat
2018-05-22
Multiple Causal Inference with Latent Confounding
Rajesh RanganathAdler Perotte
2018-05-21
Consistent Estimation of Propensity Score Functions with Oversampled Exposed Subjects
| Sherri Rose
2018-05-20
The Blessings of Multiple Causes
| Yixin WangDavid M. Blei
2018-05-17
Machine Learning for Public Administration Research, with Application to Organizational Reputation
L. Jason AnastasopoulosAndrew B. Whitford
2018-05-11
A Constraint-Based Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias
| Eric V. Strobl
2018-05-05
Causal programming: inference with structural causal models as finding instances of a relation
Joshua Brulé
2018-05-04
Data science is science's second chance to get causal inference right: A classification of data science tasks
Miguel A. HernánJohn HsuBrian Healy
2018-04-28
Causal Inference via Kernel Deviance Measures
Jovana MitrovicDino SejdinovicYee Whye Teh
2018-04-12
Merging joint distributions via causal model classes with low VC dimension
Dominik Janzing
2018-04-09
Randomization inference with general interference and censoring
Wen Wei LohMichael G. HudgensJohn D. ClemensMohammad AliMichael E. Emch
2018-03-06
Deep Learning for Causal Inference
Vikas Ramachandra
2018-03-01
A Framework in CRM Customer Lifecycle: Identify Downward Trend and Potential Issues Detection
Kun HuZhe LiYing LiuLuyin ChengQi YangYan Li
2018-02-25
Analysis of cause-effect inference by comparing regression errors
Patrick BlöbaumDominik JanzingTakashi WashioShohei ShimizuBernhard Schölkopf
2018-02-19
Benchmarking Framework for Performance-Evaluation of Causal Inference Analysis
| Yishai ShimoniChen YanoverEhud KaravaniYaara Goldschmnidt
2018-02-14
Counting and Sampling from Markov Equivalent DAGs Using Clique Trees
AmirEmad GhassamiSaber SalehkaleybarNegar KiyavashKun Zhang
2018-02-05
Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
| Judea Pearl
2018-01-11
Matching with Text Data: An Experimental Evaluation of Methods for Matching Documents and of Measuring Match Quality
| Reagan MozerLuke MiratrixAaron Russell KaufmanL. Jason Anastasopoulos
2018-01-02
Bayesian Nonparametric Causal Inference: Information Rates and Learning Algorithms
Ahmed M. AlaaMihaela van der Schaar
2017-12-24
Permutation-based Causal Inference Algorithms with Interventions
Yuhao WangLiam SolusKarren YangCaroline Uhler
2017-12-01
Estimation Considerations in Contextual Bandits
Maria DimakopoulouZhengyuan ZhouSusan AtheyGuido Imbens
2017-11-19
Causal inference for interfering units with cluster and population level treatment allocation programs
Georgia PapadogeorgouFabrizia MealliCorwin M. Zigler
2017-11-03
Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset
Alejandro SchulerKen JungRobert TibshiraniTrevor HastieNigam Shah
2017-10-31
A Framework for Inferring Causality from Multi-Relational Observational Data using Conditional Independence
Sudeepa RoyBabak Salimi
2017-08-08
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference
Aditya ChaudhryPan XuQuanquan Gu
2017-08-01
Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions
| Sara MagliacaneThijs van OmmenTom ClaassenStephan BongersPhilip VersteegJoris M. Mooij
2017-07-20
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference
Tianyu WangMarco MorucciM. Usaid AwanYameng LiuSudeepa RoyCynthia RudinAlexander Volfovsky
2017-07-19
Automated versus do-it-yourself methods for causal inference: Lessons learned from a data analysis competition
Vincent DorieJennifer HillUri ShalitMarc ScottDan Cervone
2017-07-09
Collaborative-controlled LASSO for Constructing Propensity Score-based Estimators in High-Dimensional Data
Cheng JuRichard WyssJessica M. FranklinSebastian SchneeweissJenny HäggströmMark J. Van Der Laan
2017-06-30
Deep Counterfactual Networks with Propensity-Dropout
| Ahmed M. AlaaMichael WeiszMihaela van der Schaar
2017-06-19
Bias and high-dimensional adjustment in observational studies of peer effects
| Dean EcklesEytan Bakshy
2017-06-14
Learning Causal Structures Using Regression Invariance
AmirEmad GhassamiSaber SalehkaleybarNegar KiyavashKun Zhang
2017-05-26
Causal inference for social network data
Elizabeth L. OgburnOleg SofryginIvan DiazMark J. Van Der Laan
2017-05-23
Causal Inference through the Method of Direct Estimation
Marc RatkovicDustin Tingley
2017-03-16
Probabilistic Matching: Causal Inference under Measurement Errors
Fani TsapeliPeter TinoMirco Musolesi
2017-03-13
Causal Inference by Stochastic Complexity
Kailash BudhathokiJilles Vreeken
2017-02-22
A Bayesian view of doubly robust causal inference
| Olli SaarelaLéo R. BelzileDavid A. Stephens
2017-01-15
Generalized Optimal Matching Methods for Causal Inference
Nathan Kallus
2016-12-26
Joint Causal Inference from Multiple Contexts
Joris M. MooijSara MagliacaneTom Claassen
2016-11-30
Entropic Causal Inference
| Murat KocaogluAlexandros G. DimakisSriram VishwanathBabak Hassibi
2016-11-12
Sensitivity Maps of the Hilbert-Schmidt Independence Criterion
Adrián Pérez-SuayGustau Camps-Valls
2016-11-02
ZaliQL: A SQL-Based Framework for Drawing Causal Inference from Big Data
Babak SalimiDan Suciu
2016-09-12
The Inflation Technique for Causal Inference with Latent Variables
Elie WolfeRobert W. SpekkensTobias Fritz
2016-09-02
Identifying Candidate Risk Factors for Prescription Drug Side Effects using Causal Contrast Set Mining
Jenna RepsZhaoyang GuoHaoyue ZhuUwe Aickelin
2016-07-20
From Dependence to Causation
David Lopez-Paz
2016-07-12
Estimating individual treatment effect: generalization bounds and algorithms
| Uri ShalitFredrik D. JohanssonDavid Sontag
2016-06-13
The Crossover Process: Learnability and Data Protection from Inference Attacks
Richard NockGiorgio PatriniFinnian LattimoreTiberio Caetano
2016-06-13
Causal Bandits: Learning Good Interventions via Causal Inference
Finnian LattimoreTor LattimoreMark D. Reid
2016-06-10
Learning Representations for Counterfactual Inference
| Fredrik D. JohanssonUri ShalitDavid Sontag
2016-05-12
Private Causal Inference
Matt J. KusnerYu SunKarthik SridharanKilian Q. Weinberger
2015-12-17
Causal and anti-causal learning in pattern recognition for neuroimaging
Sebastian WeichwaldBernhard SchölkopfTonio BallMoritz Grosse-Wentrup
2015-12-15
Causal Model Analysis using Collider v-structure with Negative Percentage Mapping
Pramod Kumar ParidaTshilidzi MarwalaSnehashish Chakraverty
2015-09-16
Sampling-based Causal Inference in Cue Combination and its Neural Implementation
Zhaofei YuFeng ChenJianwu DongQionghai Dai
2015-09-03
Causal Decision Trees
Jiuyong LiSaisai MaThuc Duy LeLin LiuJixue Liu
2015-08-16
Learning from Pairwise Marginal Independencies
Johannes TextorAlexander IdelbergerMaciej Liśkiewicz
2015-08-02
Removing systematic errors for exoplanet search via latent causes
| Bernhard SchölkopfDavid W. HoggDun WangDaniel Foreman-MackeyDominik JanzingCarl-Johann Simon-GabrielJonas Peters
2015-05-12
Telling cause from effect in deterministic linear dynamical systems
Naji ShajarisalesDominik JanzingBernhard ShoelkopfMichel Besserve
2015-03-04
A fast PC algorithm for high dimensional causal discovery with multi-core PCs
| Thuc Duy LeTao HoangJiuyong LiLin LiuHuawen Liu
2015-02-09
Towards a Learning Theory of Cause-Effect Inference
| David Lopez-PazKrikamol MuandetBernhard SchölkopfIlya Tolstikhin
2015-02-09
Distinguishing cause from effect using observational data: methods and benchmarks
Joris M. MooijJonas PetersDominik JanzingJakob ZscheischlerBernhard Schölkopf
2014-12-11
Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components
Philipp GeigerKun ZhangMingming GongDominik JanzingBernhard Schölkopf
2014-11-14
Non-linear Causal Inference using Gaussianity Measures
Daniel Hernández-LobatoPablo Morales-MombielaDavid Lopez-PazAlberto Suárez
2014-09-16
The Randomized Causation Coefficient
David Lopez-PazKrikamol MuandetBenjamin Recht
2014-09-15
Attributes for Causal Inference in Longitudinal Observational Databases
Jenna RepsJonathan M. GaribaldiUwe AickelinDaniele SoriaJack E. GibsonRichard B. Hubbard
2014-09-03
Inferring causal structure: a quantum advantage
Katja RiedMegan AgnewLydia VermeydenDominik JanzingRobert W. SpekkensKevin J. Resch
2014-06-19
Causal Inference through a Witness Protection Program
Ricardo SilvaRobin Evans
2014-06-02
Counterfactual Estimation and Optimization of Click Metrics for Search Engines
Lihong LiShunbao ChenJim KlebanAnkur Gupta
2014-03-07
Justifying Information-Geometric Causal Inference
Dominik JanzingBastian SteudelNaji ShajarisalesBernhard Schölkopf
2014-02-11
Consistency of Causal Inference under the Additive Noise Model
Samory KpotufeEleni SgouritsaDominik JanzingBernhard Schölkopf
2013-12-19
Feedback Detection for Live Predictors
Stefan WagerNick ChamandyOmkar MuralidharanAmir Najmi
2013-10-10
On the definition of a confounder
Tyler J. VanderWeeleIlya Shpitser
2013-04-02
Counterfactual Reasoning and Learning Systems
Léon BottouJonas PetersJoaquin Quiñonero-CandelaDenis X. CharlesD. Max ChickeringElon PortugalyDipankar RayPatrice SimardEd Snelson
2012-09-11
Quantifying causal influences
Dominik JanzingDavid BalduzziMoritz Grosse-WentrupBernhard Schölkopf
2012-03-29

Tasks

TASK PAPERS SHARE
Causal Inference 233 64.90%
Decision Making 17 4.74%
Time Series 16 4.46%
Causal Discovery 14 3.90%
fairness 10 2.79%
Causal Identification 5 1.39%
Domain Adaptation 4 1.11%
Meta-Learning 3 0.84%
Recommendation Systems 3 0.84%

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