Identifiable Energy-based Representations: An Application to Estimating Heterogeneous Causal Effects | 0 | 0.34 | 2022 |
Neural graphical modelling in continuous-time: consistency guarantees and algorithms | 0 | 0.34 | 2022 |
Clairvoyance: A Pipeline Toolkit for Medical Time Series | 0 | 0.34 | 2021 |
Learning "What-if" Explanations for Sequential Decision-Making | 0 | 0.34 | 2021 |
Target-Embedding Autoencoders for Supervised Representation Learning | 0 | 0.34 | 2020 |
Estimating counterfactual treatment outcomes over time through adversarially balanced representations | 0 | 0.34 | 2020 |
OrganITE - Optimal transplant donor organ offering using an individual treatment effect. | 0 | 0.34 | 2020 |
Temporal Phenotyping using Deep Predicting Clustering of Disease Progression | 0 | 0.34 | 2020 |
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints | 0 | 0.34 | 2020 |
A Non-Stationary Online Learning Approach to Mobility Management. | 1 | 0.35 | 2019 |
Differentially Private Bagging: Improved utility and cheaper privacy than subsample-and-aggregate | 0 | 0.34 | 2019 |
Validating Causal Inference Models via Influence Functions | 0 | 0.34 | 2019 |
Joint Concordance Index | 0 | 0.34 | 2019 |
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes. | 6 | 0.59 | 2018 |
Risk-Stratify: Confident Stratification Of Patients Based On Risk. | 0 | 0.34 | 2018 |
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks | 2 | 0.37 | 2018 |
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning. | 0 | 0.34 | 2018 |
Disease-Atlas: Navigating Disease Trajectories with Deep Learning. | 3 | 0.40 | 2018 |
GANITE: Estimation of Individualized Treatment Effects using Generative Adversarial Nets | 7 | 0.48 | 2018 |
Protein Family-specific Models using Deep Neural Networks and Transfer Learning Improve Virtual Screening and Highlight the Need for More Data. | 4 | 0.39 | 2018 |
DeepHit: A Deep Learning Approach to Survival Analysis With Competing Risks. | 11 | 0.81 | 2018 |
Learn To Adapt: Self-Optimizing Small Cell Transmit Power With Correlated Bandit Learning | 1 | 0.34 | 2017 |
Distributed Learning for Stochastic Generalized Nash Equilibrium Problems. | 9 | 0.48 | 2017 |
A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs. | 5 | 0.41 | 2017 |
Adaptive Ensemble Learning with Confidence Bounds for Personalized Diagnosis. | 0 | 0.34 | 2016 |
Collision Detection by Networked Sensors. | 1 | 0.36 | 2016 |
ConfidentCare: A Clinical Decision Support System for Personalized Breast Cancer Screening. | 6 | 0.44 | 2016 |
Smart Caching In Wireless Small Cell Networks Via Contextual Multi-Armed Bandits | 4 | 0.40 | 2016 |
A Non-stochastic Learning Approach to Energy Efficient Mobility Management. | 7 | 0.53 | 2016 |
Dynamic Pricing And Energy Consumption Scheduling With Reinforcement Learning | 8 | 0.57 | 2016 |
Game Theoretic Design of MAC Protocols: Pricing Versus Intervention | 0 | 0.34 | 2015 |
Silence is Gold: Strategic Interference Mitigation Using Tokens in Heterogeneous Small Cell Networks | 5 | 0.47 | 2015 |
Incentive-compatible demand-side management for smart grids based on review strategies | 1 | 0.37 | 2015 |
Adaptive Ensemble Learning with Confidence Bounds | 6 | 0.54 | 2015 |
Reputational Learning and Network Dynamics | 0 | 0.34 | 2015 |
Efficient Working and Shirking in Information Sharing Networks | 2 | 0.37 | 2015 |
Context-based Unsupervised Data Fusion for Decision Making | 0 | 0.34 | 2015 |
BitMiner: Bits Mining in Internet Traffic Classification | 0 | 0.34 | 2015 |
Staged Multi-armed Bandits | 0 | 0.34 | 2015 |
Active Learning in Context-Driven Stream Mining with an Application to Image Mining | 0 | 0.34 | 2015 |
Jamming Bandits. | 0 | 0.34 | 2014 |
A network of cooperative learners for data-driven stream Mining | 4 | 0.41 | 2014 |
Context-driven online learning for activity classification in wireless health | 1 | 0.37 | 2014 |
Context-adaptive big data stream mining | 2 | 0.37 | 2014 |
Distributed Online Learning in Social Recommender Systems | 15 | 0.65 | 2014 |
Robust Power Control for Heterogeneous Users in Shared Unlicensed Bands | 7 | 0.50 | 2014 |
Context-Aware Online Spatiotemporal Traffic Prediction | 0 | 0.34 | 2014 |
Rating Protocols in Online Communities | 6 | 0.52 | 2014 |
Low Power and Scalable Many-Core Architecture for Big-Data Stream Computing | 5 | 0.40 | 2014 |
Joint design of Dynamic Scheduling and Pricing in wireless cloud computing | 2 | 0.37 | 2013 |