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Papers
Possibilistic Instrumental Variable Regression with Potentially Invalid Instruments
UAI 2026
Optimality and Adaptivity of Deep Neural Features for Instrumental Variable Regression
ICLR 2025
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
AAAI 2025
Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
NeurIPS 2024
Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
NeurIPS 2024
Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
CVPR 2023
Minimax Instrumental Variable Regression and L_2 Convergence Guarantees without Identification or Closedness
COLT 2023
Causal Imitation Learning under Temporally Correlated Noise
ICML 2022
Fast Instrument Learning with Faster Rates
NeurIPS 2022
Instrumental Variable Regression with Confounder Balancing
ICML 2022
Strategic Instrumental Variable Regression: Recovering Causal Relationships From Strategic Responses
ICML 2022
Learning Deep Features in Instrumental Variable Regression
ICLR 2021
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression
NeurIPS 2021
Dual Instrumental Variable Regression
NeurIPS 2020
Minimax Estimation of Conditional Moment Models
NeurIPS 2020
Kernel Instrumental Variable Regression
NeurIPS 2019