Conformal Monte Carlo Meta-learners for Predictive Inference of Individual Treatment Effects
The study introduces a new method, the Conformal Monte Carlo (CMC) meta-learners, for estimating the treatment effect…
Moco: A Learnable Meta Optimizer for Combinatorial Optimization
This article presents MOCO, a learnable meta optimizer for combinatorial optimization problems, which are often NP-hard. Traditional…
Two Trades is not Baffled: Condense Graph via Crafting Rational Gradient Matching
The study focuses on the challenges of training on large-scale graphs in graph representation learning. It highlights…
A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health
This academic article introduces the Bayesian Learning for Contextual Restless Multi-Armed Bandits (BCoR), which is an online…
Beyond explaining: XAI-based Adaptive Learning with SHAP Clustering for Energy Consumption Prediction
This academic paper presents a method that combines explainable artificial intelligence (XAI) techniques with adaptive learning to…
PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses
The article discusses the development of PriorBoost, an adaptive algorithm for learning from aggregate responses. The paper…
Randomized Confidence Bounds for Stochastic Partial Monitoring
This paper delves into the partial monitoring (PM) framework and its application to sequential learning problems with…
Example-based Explanations for Random Forests using Machine Unlearning
The article presents F AIRDEBUGGER, a system designed to identify and explain instances of fairness violations in…
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
This paper investigates the concept of graph condensation, which is a technique used to reduce the size…
Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth
The research investigates the performance of autoencoders in the compression of structured data. Autoencoders are a prominent…