Co-occurring keywords · papers mentioning both
Papers
Bounding causal effects with leaky instruments
UAI 2024
Causal ATE Mitigates Unintended Bias in Controlled Text Generation
CoNLL 2024
Causal Inference for Human-Language Model Collaboration
NAACL 2024
Cluster-Adaptive Network A/B Testing: From Randomization to Estimation
JMLR 2024
Conditional Outcome Equivalence: A Quantile Alternative to CATE
NeurIPS 2024
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
Limits of Approximating the Median Treatment Effect
COLT 2024
Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs
UAI 2024
Marginal Causal Flows for Validation and Inference
NeurIPS 2024
Proximal Causal Inference for Synthetic Control with Surrogates
AISTATS 2024
Semiparametric Efficient Inference in Adaptive Experiments
CLeaR 2024
Smaller Confidence Intervals From IPW Estimators via Data-Dependent Coarsening (Extended Abstract)
COLT 2024
A/B Testing in Network Data with Covariate-Adaptive Randomization
ICML 2023
A Reinforcement Learning Framework for Dynamic Mediation Analysis
ICML 2023
Average Adjusted Association: Efficient Estimation with High Dimensional Confounders
AISTATS 2023
Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control
NeurIPS 2023
Finite Population Regression Adjustment and Non-asymptotic Guarantees for Treatment Effect Estimation
NeurIPS 2023
Local Causal Discovery for Estimating Causal Effects
CLeaR 2023
Marginal Density Ratio for Off-Policy Evaluation in Contextual Bandits
NeurIPS 2023
Non-stationary Experimental Design under Linear Trends
NeurIPS 2023
Sharp Bounds for Generalized Causal Sensitivity Analysis
NeurIPS 2023
Conceptualizing Treatment Leakage in Text-based Causal Inference
NAACL 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding
NeurIPS 2022
Partial Identification of Treatment Effects with Implicit Generative Models
NeurIPS 2022
Partial Identification with Noisy Covariates: A Robust Optimization Approach
CLeaR 2022