Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: The self-normalized estimator for counterfactual learning
Counterfactual Risk Minimization: Learning from Logged Bandit Feedback
A Bayesian Foundation for Individual Learning Under Uncertainty
Causal Learning and Inference as a Rational Process: The New Synthesis
causal models and learning from data : integrating causal modeling and statistical estimation .
Fairness in Learning: Classic and Contextual Bandits
Adversarial Balancing for Causal Inference
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Generating Counterfactual Explanations with Natural Language
Counterfactual Evaluation and Learning for Search, Recommendation and Ad Placement
Adversarial Contrastive Estimation
Remembering what could have happened: Neural correlates of episodic counterfactual thinking
Reward-estimation variance elimination in sequential decision processes
A Minimum Relative Entropy Principle for Learning and Acting
Online learning for adversaries with memory: price of past mistakes
Unbiased Estimation of the Value of an Optimized Policy
Improvements on Hindsight Learning
A Strategy for an Uncompromising Incremental Learner
A ground level causal learning algorithm
Rethinking statistical learning theory: learning using statistical invariants
Empirical Bayes for Learning to Learn
Underweight problems in Asian children and adolescents
Classification of MRI brain images using k-nearest neighbor and artificial neural network
Second-Order Consensus for Multiagent Systems With Directed Topologies and Nonlinear Dynamics
Probabilistic Frame-Semantic Parsing
Beating the hold-out: bounds for K-fold and progressive cross-validation