{"list":"other","total":68,"rows":[{"id":"1706.03762","title":"Attention Is All You Need","created":"2017-06-12","cited_by_count":60361},{"id":"1706.03461","title":"Meta-learners for Estimating Heterogeneous Treatment Effects using Machine Learning","created":"2017-06-12","cited_by_count":478},{"id":"1705.08821","title":"Causal Effect Inference with Deep Latent-Variable Models","created":"2017-05-24","cited_by_count":410},{"id":"2305.00050","title":"Causal Reasoning and Large Language Models: Opening a New Frontier for Causality","created":"2023-04-28","cited_by_count":353},{"id":"1712.04912","title":"Quasi-Oracle Estimation of Heterogeneous Treatment Effects","created":"2017-12-13","cited_by_count":332},{"id":"1605.03661","title":"Learning Representations for Counterfactual Inference","created":"2016-05-12","cited_by_count":329},{"id":"1906.02120","title":"Adapting Neural Networks for the Estimation of Treatment Effects","created":"2019-06-05","cited_by_count":287},{"id":"1611.05148","title":"Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering","created":"2016-11-16","cited_by_count":220},{"id":"2002.02770","title":"A Survey on Causal Inference","created":"2020-02-05","cited_by_count":202},{"id":"1704.02801","title":"Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes","created":"2017-04-10","cited_by_count":158},{"id":"1609.08816","title":"Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder","created":"2016-09-28","cited_by_count":139},{"id":"2202.03169","title":"CITRIS: Causal Identifiability from Temporal Intervened Sequences","created":"2022-02-07","cited_by_count":133},{"id":"1906.00232","title":"Kernel Instrumental Variable Regression","created":"2019-06-01","cited_by_count":118},{"id":"1712.00961","title":"Learning Independent Causal Mechanisms","created":"2017-12-04","cited_by_count":105},{"id":"1805.06826","title":"The Blessings of Multiple Causes","created":"2018-05-17","cited_by_count":104},{"id":"2306.02235","title":"Learning Linear Causal Representations from Interventions under General Nonlinear Mixing","created":"2023-06-04","cited_by_count":92},{"id":"1902.00981","title":"Learning Counterfactual Representations for Estimating Individual Dose-Response Curves","created":"2019-02-03","cited_by_count":90},{"id":"1905.12495","title":"Deep Generalized Method of Moments for Instrumental Variable Analysis","created":"2019-05-29","cited_by_count":88},{"id":"2202.10166","title":"Diffusion Causal Models for Counterfactual Estimation","created":"2022-02-21","cited_by_count":87},{"id":"2006.07201","title":"Minimax Estimation of Conditional Moment Models","created":"2020-06-12","cited_by_count":83},{"id":"2002.12326","title":"Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks","created":"2020-02-27","cited_by_count":78},{"id":"2010.07154","title":"Learning Deep Features in Instrumental Variable Regression","created":"2020-10-14","cited_by_count":66},{"id":"1507.00747","title":"Nonparametric methods for doubly robust estimation of continuous treatment effects","created":"2015-07-02","cited_by_count":64},{"id":"2103.07861","title":"VCNet and Functional Targeted Regularization For Learning Causal Effects of Continuous Treatments","created":"2021-03-14","cited_by_count":61},{"id":"2007.00163","title":"Identifying Causal-Effect Inference Failure with Uncertainty-Aware Models","created":"2020-07-01","cited_by_count":57},{"id":"2105.04544","title":"Proximal Causal Learning with Kernels: Two-Stage Estimation and Moment Restriction","created":"2021-05-10","cited_by_count":55},{"id":"1604.07125","title":"Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions","created":"2016-04-25","cited_by_count":50},{"id":"2103.14029","title":"Causal Inference Under Unmeasured Confounding With Negative Controls: A Minimax Learning Approach","created":"2021-03-25","cited_by_count":44},{"id":"1705.08492","title":"Uplift Modeling with Multiple Treatments and General Response Types","created":"2017-05-23","cited_by_count":41},{"id":"1812.09970","title":"Synthetic Difference in Differences","created":"2018-12-24","cited_by_count":41},{"id":"2106.03907","title":"Deep Proxy Causal Learning and its Application to Confounded Bandit Policy Evaluation","created":"2021-06-07","cited_by_count":40},{"id":"2305.14791","title":"Prompting Large Language Models for Counterfactual Generation: An Empirical Study","created":"2023-05-24","cited_by_count":37},{"id":"1808.04945","title":"A confounding bridge approach for double negative control inference on causal effects","created":"2018-08-15","cited_by_count":36},{"id":"1803.07164","title":"Adversarial Generalized Method of Moments","created":"2018-03-19","cited_by_count":34},{"id":"2402.01454","title":"Integrating Large Language Models in Causal Discovery: A Statistical Causal Approach","created":"2024-02-02","cited_by_count":32},{"id":"2007.01290","title":"Provably Efficient Neural Estimation of Structural Equation Model: An Adversarial Approach","created":"2020-07-02","cited_by_count":31},{"id":"1706.05966","title":"Deep Counterfactual Networks with Propensity-Dropout","created":"2017-06-19","cited_by_count":30},{"id":"1701.05132","title":"Estimation of causal effects with multiple treatments: a review and new ideas","created":"2017-01-18","cited_by_count":29},{"id":"2012.10315","title":"Kernel Methods for Unobserved Confounding: Negative Controls, Proxies, and Instruments","created":"2020-12-18","cited_by_count":28},{"id":"2012.09422","title":"The Variational Method of Moments","created":"2020-12-17","cited_by_count":23},{"id":"1407.2451","title":"Estimating the effect of joint interventions from observational data in sparse high-dimensional settings","created":"2014-07-09","cited_by_count":20},{"id":"2407.07018","title":"End-To-End Causal Effect Estimation from Unstructured Natural Language Data","created":"2024-07-09","cited_by_count":18},{"id":"2009.05641","title":"A Selective Review of Negative Control Methods in Epidemiology","created":"2020-09-11","cited_by_count":16},{"id":"2011.04504","title":"Identifying effects of multiple treatments in the presence of unmeasured confounding","created":"2020-11-09","cited_by_count":16},{"id":"1805.08273","title":"Multiple Causal Inference with Latent Confounding","created":"2018-05-21","cited_by_count":14},{"id":"1901.01230","title":"Permutation Weighting","created":"2019-01-04","cited_by_count":14},{"id":"2103.11175","title":"NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments","created":"2021-03-20","cited_by_count":14},{"id":"1501.03571","title":"Entropy balancing is doubly robust","created":"2015-01-15","cited_by_count":13},{"id":"2205.13935","title":"Detecting hidden confounding in observational data using multiple environments","created":"2022-05-27","cited_by_count":13},{"id":"2101.06662","title":"Intact-VAE: Estimating Treatment Effects under Unobserved Confounding","created":"2021-01-17","cited_by_count":10},{"id":"2210.05446","title":"Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders","created":"2022-10-11","cited_by_count":10},{"id":"2212.05778","title":"Instrumental Variables in Causal Inference and Machine Learning: A Survey","created":"2022-12-12","cited_by_count":10},{"id":"2306.06263","title":"A Cross-Moment Approach for Causal Effect Estimation","created":"2023-06-09","cited_by_count":9},{"id":"1704.01190","title":"Testing for arbitrary interference on experimentation platforms","created":"2017-04-04","cited_by_count":8},{"id":"2205.14552","title":"Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge","created":"2022-05-29","cited_by_count":8},{"id":"2310.01865","title":"Conditional Instrumental Variable Regression with Representation Learning for Causal Inference","created":"2023-10-03","cited_by_count":8},{"id":"1812.06575","title":"Matching on Generalized Propensity Scores with Continuous Exposures","created":"2018-12-17","cited_by_count":7},{"id":"2006.05616","title":"Regret Minimization for Causal Inference on Large Treatment Space","created":"2020-06-10","cited_by_count":7},{"id":"2403.14232","title":"Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation","created":"2024-03-21","cited_by_count":6},{"id":"2208.06552","title":"Sensitivity to Unobserved Confounding in Studies with Factor-structured Outcomes","created":"2022-08-13","cited_by_count":5},{"id":"2110.03973","title":"Many Proxy Controls","created":"2021-10-08","cited_by_count":4},{"id":"2211.03262","title":"Detecting Interference in A/B Testing with Increasing Allocation","created":"2022-11-07","cited_by_count":4},{"id":"1903.04149","title":"Estimating Individual Advertising Effect in E-Commerce","created":"2019-03-11","cited_by_count":3},{"id":"2108.07455","title":"Causal Inference with Noncompliance and Unknown Interference","created":"2021-08-17","cited_by_count":2},{"id":"2208.06748","title":"Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects","created":"2022-08-13","cited_by_count":2},{"id":"2106.14243","title":"A Generalizability Score for Aggregate Causal Effect","created":"2021-06-27","cited_by_count":1},{"id":"2211.10008","title":"Confounder Balancing for Instrumental Variable Regression with Latent Variable","created":"2022-11-18","cited_by_count":1},{"id":"2402.12583","title":"Non-linear Triple Changes Estimator for Targeted Policies","created":"2024-02-19","cited_by_count":1}],"next_cursor":null}