Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Online AUC Maximization
Optimizing Area Under Roc Curve with SVMs
Combinatorial Network Optimization With Unknown Variables: Multi-Armed Bandits With Linear Rewards and Individual Observations
Deep reinforcement learning for search, recommendation, and online advertising: a survey.
OPML: A One-Pass Closed-Form Solution for Online Metric Learning
Asymptotic Minimax Regret for Data Compression, Gambling, and Prediction
Relative Upper Confidence Bound for the K-Armed Dueling Bandit Problem
Non-monotone Continuous DR-submodular Maximization: Structure and Algorithms
A Linear Regression Framework for the Receiver Operating Characteristic (ROC) Curve Analysis.
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures
Profit maximization for multiple products in online social networks
Learning to Optimize
Algorithms for Sequential Decision Making
Adaptive Online Hyper-Parameters Tuning for Ad Event-Prediction Models
Supervised Sequential Classification Under Budget Constraints
Efficient non-greedy optimization of decision trees
Model-Independent Online Learning for Influence Maximization
Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting
Time series prediction and online learning.
Optimization in dynamic environments: a survey on problems, methods and measures
TensorLy: Tensor Learning in Python
The Effect of Class Distribution on Classifier Learning: An Empirical Study
Learning Theory : Applying Kolb ’ s Learning Style Inventory with Computer Based Training
Automatic Facial Expression Recognition System Using Deep Network-Based Data Fusion
Detecting Targeted Smartphone Malware with Behavior-Triggering Stochastic Models