Co-occurring keywords · papers mentioning both
Papers
Robust Generalized Method of Moments: A Finite Sample Viewpoint
NeurIPS 2022
Selective Machine Learning of the Average Treatment Effect with an Invalid Instrumental Variable
JMLR 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
ICML 2022
Double Machine Learning Density Estimation for Local Treatment Effects with Instruments
NeurIPS 2021
Exploiting Equality Constraints in Causal Inference
AISTATS 2021
Incentivizing Compliance with Algorithmic Instruments
ICML 2021
Instrumental Variable-based Identification for Causal Effects using Covariate Information
AAAI 2021
Partial Identifiability in Discrete Data with Measurement Error
UAI 2021
Valid Causal Inference with (Some) Invalid Instruments
ICML 2021
A Class of Algorithms for General Instrumental Variable Models
NeurIPS 2020
General Control Functions for Causal Effect Estimation from IVs
NeurIPS 2020
Ivy: Instrumental Variable Synthesis for Causal Inference
AISTATS 2020
MASSIVE: Tractable and Robust Bayesian Learning of Many-Dimensional Instrumental Variable Models
UAI 2020
Minimax Estimation of Conditional Moment Models
NeurIPS 2020
Deep Generalized Method of Moments for Instrumental Variable Analysis
NeurIPS 2019
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
NeurIPS 2019
Exclusivity Graph Approach to Instrumental Inequalities
UAI 2019
Interpretable Almost Matching Exactly With Instrumental Variables
UAI 2019
Kernel Instrumental Variable Regression
NeurIPS 2019
Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments
NeurIPS 2019
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations
JMLR 2018
Instrument-Armed Bandits
ALT 2018
Deep IV: A Flexible Approach for Counterfactual Prediction
ICML 2017
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables
ICML 2017
Learning Instrumental Variables with Structural and Non-Gaussianity Assumptions
JMLR 2017