Mihaela van der Schaar
- Why do Random Forests Work? Understanding Tree Ensembles as Self-Regularizing Adaptive Smoothers
2024/02/02 by Alicia Curth, Curth, Alicia, Alan Jeffares +3 · 6 voices · 1 citation
Computer Science · #Neural Networks and Applications
- GAIN: Missing Data Imputation using Generative Adversarial Nets
2018/06/07 by Jinsung Yoon, James Jordon, Yoon, Jinsung +3 · 51 citations
Computer Science · #Generative Adversarial Networks and Image Synthesis #AI in cancer detection #Face and Expression Recognition
- Dynamic-DeepHit: A Deep Learning Approach for Dynamic Survival Analysis With Competing Risks Based on Longitudinal Data
2019/04/03 by Changhee Lee, Jinsung Yoon, Mihaela van der Schaar · 45 citations
Mathematics · Computer Science · Medicine · #Statistical Methods in Epidemiology #Machine Learning in Healthcare #Cystic Fibrosis Research Advances
- Discovering Preference Optimization Algorithms with and for Large Language Models
2024/06/12 by Chris Lu, Lu, Chris, Samuel Holt +12 · 3 voices · 9 citations
Computer Science · #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.LG
- Estimating Missing Data in Temporal Data Streams Using Multi-Directional Recurrent Neural Networks
2018/10/08 by Jinsung Yoon, William R. Zame, Mihaela van der Schaar · 36 citations
Computer Science · Mathematics · #Machine Learning in Healthcare #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
- Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes
2017/04/10 by Ahmed M. Alaa, Mihaela van der Schaar, Alaa, Ahmed M. +1 · 17 citations
Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning in Healthcare #Statistical Methods and Inference
- Nonparametric Estimation of Heterogeneous Treatment Effects: From Theory to Learning Algorithms
2021/01/26 by Alicia Curth, Curth, Alicia, Mihaela van der Schaar +1 · 20 citations
Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
- How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
2021/02/17 by Ahmed M. Alaa, Alaa, Ahmed M., Boris van Breugel +5 · 17 citations
Computer Science · Decision Sciences · #Advanced Data Storage Technologies #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Scientific Computing and Data Management #Software Engineering Research #Topic Modeling
- Large Language Models to Enhance Bayesian Optimization
2024/02/06 by Tennison Liu, Liu, Tennison, Nicolás Astorga +5 · 28 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Natural Language Processing Techniques #Topic Modeling
- Estimating Missing Data in Temporal Data Streams Using Multi-directional\n Recurrent Neural Networks
2017/11/23 by Jinsung Yoon, William R. Zame, Yoon, Jinsung +3 · 10 citations
Computer Science · Mathematics · #Machine Learning in Healthcare #Statistical Methods and Inference #Statistical Methods and Bayesian Inference
- Synthcity: facilitating innovative use cases of synthetic data in different data modalities
2023/01/18 by Zhaozhi Qian, Qian, Zhaozhi, Bogdan-Constantin Cebere +3 · 17 citations
Computer Science · Decision Sciences · #Advanced Data Storage Technologies #Artificial Intelligence (cs.AI) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- Why Tabular Foundation Models Should Be a Research Priority
2024/05/02 by Boris van Breugel, Mihaela van der Schaar, van Breugel, Boris +1 · 21 citations
Earth and Planetary Sciences · #Geological Modeling and Analysis
- Dense Reward for Free in Reinforcement Learning from Human Feedback
2024/02/01 by Alex Chan, Hao Sun, Chan, Alex J. +5 · 15 citations
Computer Science · #Reinforcement Learning in Robotics #Evolutionary Algorithms and Applications
- Explaining Time Series Predictions with Dynamic Masks
2021/06/09 by Jonathan Crabbé, Mihaela van der Schaar, Crabbé, Jonathan +1 · 8 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Time Series Analysis and Forecasting
- On Inductive Biases for Heterogeneous Treatment Effect Estimation
2021/06/07 by Alicia Curth, Mihaela van der Schaar, Curth, Alicia +1 · 8 citations
Mathematics · Computer Science · #Advanced Causal Inference Techniques #Statistical Methods and Inference #Domain Adaptation and Few-Shot Learning
- Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations
2022/06/16 by Nabeel Seedat, Fergus Imrie, Seedat, Nabeel +7 · 9 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Mathematical Biology Tumor Growth
- Membership Inference Attacks against Synthetic Data through Overfitting Detection
2023/02/24 by Boris van Breugel, Hao Sun, van Breugel, Boris +5 · 9 citations
Computer Science · Decision Sciences · #Cryptography and Security (cs.CR) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Privacy-Preserving Technologies in Data
- MIRACLE: Causally-Aware Imputation via Learning Missing Data Mechanisms
2021/11/04 by Trent Kyono, Yao Zhang, Kyono, Trent +5 · 7 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Personalized Risk Scoring for Critical Care Prognosis Using Mixtures of Gaussian Processes
2017/04/27 by Ahmed M. Alaa, Jinsung Yoon, Scott Hu +1 · 20 citations
Computer Science · Medicine · #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment #Gaussian Processes and Bayesian Inference
- Personalized Course Sequence Recommendations
2016/07/27 by Jie Xu, Tianwei Xing, Mihaela van der Schaar · 5 citations
Computer Science · #Distributed and Parallel Computing Systems #Recommender Systems and Techniques #Intelligent Tutoring Systems and Adaptive Learning
- Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression
2021/06/05 by Zhaozhi Qian, Qian, Zhaozhi, William R. Zame +7 · 6 citations
Physics and Astronomy · Computer Science · #Model Reduction and Neural Networks #Machine Learning in Healthcare #Neural Networks and Applications
- Autoformulation of Mathematical Optimization Models Using LLMs
2024/11/03 by Nicolás Astorga, Tennison Liu, Astorga, Nicolás +5 · 13 citations
Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Manufacturing Process and Optimization
- Benchmarking Heterogeneous Treatment Effect Models through the Lens of Interpretability
2022/06/16 by Jonathan Crabbé, Crabbé, Jonathan, Alicia Curth +5 · 6 citations
Mathematics · Medicine · Computer Science · #Advanced Causal Inference Techniques #Radiomics and Machine Learning in Medical Imaging #Machine Learning in Healthcare
- Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
2023/10/25 by Lasse Hansen, Hansen, Lasse, Nabeel Seedat +5 · 7 citations
Computer Science · Engineering · #Data Management and Algorithms #FOS: Computer and information sciences #Image Processing and 3D Reconstruction #Machine Learning (cs.LG) #Traffic Prediction and Management Techniques
- On Error Propagation of Diffusion Models
2023/08/09 by Yangming Li, Mihaela van der Schaar, Li, Yangming +1 · 6 citations
Computer Science · Medicine · #Advanced Mathematical Modeling in Engineering #Advanced Neuroimaging Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Music and Audio Processing
- Neural graphical modelling in continuous-time: consistency guarantees and algorithms
2021/05/06 by Alexis Bellot, Kim Branson, Bellot, Alexis +3 · 4 citations
Computer Science · Engineering · Physics and Astronomy · #Control Systems and Identification #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural Networks and Applications
- Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance
2023/04/13 by Jonathan Crabbé, Crabbé, Jonathan, Mihaela van der Schaar +1 · 5 citations
Computer Science · Materials Science · #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning #Machine Learning in Materials Science
- Synthetic data, real errors: how (not) to publish and use synthetic data
2023/05/16 by Boris van Breugel, Zhaozhi Qian, van Breugel, Boris +3 · 5 citations
Computer Science · Decision Sciences · #Time Series Analysis and Forecasting #Scientific Computing and Data Management #Data Stream Mining Techniques
- On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'
2024/08/05 by Alexander Bastounis, Paolo Campodonico, Bastounis, Alexander +7 · 2 voices · 2 citations
#cs.AI #cs.LG #math.OC #math.PR
- Conditional Independence Testing using Generative Adversarial Networks
2019/07/09 by Alexis Bellot, Bellot, Alexis, Mihaela van der Schaar +1 · 3 citations
Computer Science · #FOS: Computer and information sciences #Image and Object Detection Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- In Search of Insights, Not Magic Bullets: Towards Demystification of the Model Selection Dilemma in Heterogeneous Treatment Effect Estimation
2023/02/06 by Alicia Curth, Curth, Alicia, Mihaela van der Schaar +1 · 5 citations
Mathematics · #Advanced Causal Inference Techniques #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
- Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
2022/06/10 by Samuel Holt, Holt, Samuel, Zhaozhi Qian +3 · 4 citations
Physics and Astronomy · #Artificial Intelligence (cs.AI) #E.1 #FOS: Computer and information sciences #I.2.5 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
- A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning
2023/10/29 by Alicia Curth, Alan Jeffares, Curth, Alicia +3 · 2 voices · 3 citations
#stat.ML #cs.LG
- Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
2022/02/25 by Tobias Hatt, Jeroen Berrevoets, Hatt, Tobias +7 · 4 citations
Mathematics · #Advanced Causal Inference Techniques #Statistical Methods in Clinical Trials #Statistical Methods and Inference
- Scalable Bayesian Inverse Reinforcement Learning
2021/02/12 by Alex Chan, Chan, Alex J., Mihaela van der Schaar +1 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
- SurvITE: Learning Heterogeneous Treatment Effects from Time-to-Event Data
2021/10/26 by Alicia Curth, Changhee Lee, Curth, Alicia +3 · 3 citations
Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference
- L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
2023/10/02 by Samuel Holt, Max Ruiz Luyten, Holt, Samuel +3 · 4 citations
Computer Science · #Natural Language Processing Techniques
- Strictly Batch Imitation Learning by Energy-based Distribution Matching
2020/06/25 by Daniel Jarrett, Jarrett, Daniel, Ioana Bica +3 · 3 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robot Manipulation and Learning
- AutoPrognosis: Automated Clinical Prognostic Modeling via Bayesian Optimization with Structured Kernel Learning
2018/02/20 by Ahmed M. Alaa, Alaa, Ahmed M., Mihaela van der Schaar +1 · 3 citations
Computer Science · Health Professions · #Artificial Intelligence in Healthcare #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare
- Can You Rely on Your Model Evaluation? Improving Model Evaluation with Synthetic Test Data
2023/10/25 by Boris van Breugel, van Breugel, Boris, Nabeel Seedat +5 · 4 citations
Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI
2024/03/07 by Nabeel Seedat, Seedat, Nabeel, Fergus Imrie +3 · 5 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Neural Networks and Applications
- Data-SUITE: Data-centric identification of in-distribution incongruous examples
2022/02/17 by Nabeel Seedat, Seedat, Nabeel, Jonathan Crabbé +3 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare
- Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
2024/06/05 by Thomas Pouplin, Alan Jeffares, Pouplin, Thomas +5 · 3 citations
Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications
- Practical Approaches for Fair Learning with Multitype and Multivariate Sensitive Attributes
2022/11/11 by Tennison Liu, Alex Chan, Liu, Tennison +5 · 2 citations
Social Sciences · #Computers and Society (cs.CY) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Joint Training of Deep Ensembles Fails Due to Learner Collusion
2023/01/26 by Alan Jeffares, Tennison Liu, Jeffares, Alan +5 · 2 citations
Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Distributed Online Learning via Cooperative Contextual Bandits
2013/08/21 by Cem Tekin, Tekin, Cem, Mihaela van der Schaar +1 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Optimization and Search Problems
- SurvivalGAN: Generating Time-to-Event Data for Survival Analysis
2023/02/24 by Alexander Norcliffe, Norcliffe, Alexander, Bogdan Cebere +7 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Epigenetics and DNA Methylation #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Global Bandits
2015/03/29 by Onur Atan, Atan, Onur, Cem Tekin +3 · 1 citation
Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Personalized Donor-Recipient Matching for Organ Transplantation
2016/11/12 by Jinsung Yoon, Yoon, Jinsung, Ahmed M. Alaa +5 · 1 citation
Medicine · Computer Science · #Transplantation: Methods and Outcomes #Machine Learning in Healthcare
- ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference
2024/03/16 by Krzysztof Kacprzyk, Kacprzyk, Krzysztof, Samuel Holt +7 · 3 citations
Economics, Econometrics and Finance · Mathematics · #Advanced Causal Inference Techniques #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Methodology (stat.ME) #Statistical Methods in Clinical Trials
- Learning from Clinical Judgments: Semi-Markov-Modulated Marked Hawkes Processes for Risk Prognosis
2017/05/15 by Ahmed M. Alaa, Alaa, Ahmed M., Scott Hu +3 · 1 citation
Computer Science · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG)
- RadialGAN: Leveraging multiple datasets to improve target-specific predictive models using Generative Adversarial Networks
2018/02/18 by Jinsung Yoon, Yoon, Jinsung, J.B. Jordon +4 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- Automatically Learning Hybrid Digital Twins of Dynamical Systems
2024/10/31 by Samuel Holt, Holt, Samuel, Tennison Liu +3 · 3 citations
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Accounting For Informative Sampling When Learning to Forecast Treatment Outcomes Over Time
2023/06/07 by Toon Vanderschueren, Vanderschueren, Toon, Alicia Curth +5 · 2 citations
Computer Science · Medicine · #Machine Learning in Healthcare #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
- ASAC: Active Sensing using Actor-Critic models
2019/06/16 by Jinsung Yoon, James Jordon, Yoon, Jinsung +3 · 1 citation
Computer Science · #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
- When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
2020/05/13 by Zhaozhi Qian, Ahmed M. Alaa, Qian, Zhaozhi +3 · 1 citation
Computer Science · Decision Sciences · Mathematics · #Applications (stat.AP) #COVID-19 epidemiological studies #Complex Systems and Decision Making #FOS: Computer and information sciences #FOS: Physical sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Physics and Society (physics.soc-ph)
- CASTLE: Regularization via Auxiliary Causal Graph Discovery
2020/09/28 by Trent Kyono, Kyono, Trent, Yao Zhang +3 · 1 citation
Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Data Quality and Management #Advanced Graph Neural Networks
- Learning Matching Representations for Individualized Organ Transplantation Allocation
2021/01/28 by Can Xu, Xu, Can, Ahmed M. Alaa +9 · 1 citation
Medicine · #FOS: Computer and information sciences #Hepatitis C virus research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Organ Transplantation Techniques and Outcomes #Renal Transplantation Outcomes and Treatments
- Personalized Risk Scoring for Critical Care Patients using Mixtures of Gaussian Process Experts
2016/05/03 by Ahmed M. Alaa, Jinsung Yoon, Alaa, Ahmed M. +5 · 2 citations
Computer Science · Medicine · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Healthcare Technology and Patient Monitoring #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inverse Contextual Bandits: Learning How Behavior Evolves over Time
2021/07/13 by Alihan Hüyük, Hüyük, Alihan, Daniel Jarrett +3 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
- To Impute or not to Impute? Missing Data in Treatment Effect Estimation
2022/02/04 by Jeroen Berrevoets, Fergus Imrie, Berrevoets, Jeroen +7 · 1 citation
Mathematics · #Statistical Methods and Inference #Advanced Causal Inference Techniques #Statistical Methods and Bayesian Inference
- Disentangled Counterfactual Recurrent Networks for Treatment Effect Inference over Time
2021/12/07 by Jeroen Berrevoets, Alicia Curth, Berrevoets, Jeroen +7 · 1 citation
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Personalized Risk Scoring for Critical Care Prognosis using Mixtures of\n Gaussian Processes
2016/10/27 by Ahmed M. Alaa, Alaa, Ahmed M., Jinsung Yoon +5 · 1 citation
Computer Science · Medicine · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Healthcare Technology and Patient Monitoring #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment
- Deep Learning Through A Telescoping Lens: A Simple Model Provides Empirical Insights On Grokking, Gradient Boosting & Beyond
2024/10/31 by Alan Jeffares, Jeffares, Alan, Alicia Curth +3 · 6 voices
Computer Science · Engineering · #Architecture and Computational Design #Neural Networks and Reservoir Computing #Stochastic Gradient Optimization Techniques #cs.AI #cs.LG #stat.ML
- D-CIPHER: Discovery of Closed-form Partial Differential Equations
2022/06/21 by Krzysztof Kacprzyk, Kacprzyk, Krzysztof, Zhaozhi Qian +3 · 1 citation
Computer Science · Environmental Science · Physics and Astronomy · #FOS: Computer and information sciences #Hydrological Forecasting Using AI #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Time Series Analysis and Forecasting
- What is Flagged in Uncertainty Quantification? Latent Density Models for Uncertainty Categorization
2022/07/11 by Hao Sun, Sun, Hao, Boris van Breugel +7 · 1 citation
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- Synthetic Model Combination: An Instance-wise Approach to Unsupervised Ensemble Learning
2022/10/11 by Alex Chan, Chan, Alex J., Mihaela van der Schaar +1 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Machine Learning in Healthcare
- OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Models
2025/05/24 by Hao Sun, Sun, Hao, Yunyi Shen +3 · 5 citations
Decision Sciences · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computational and Text Analysis Methods #Computers and Society (cs.CY) #FOS: Computer and information sciences #Scientific Computing and Data Management
- Neural Laplace Control for Continuous-time Delayed Systems
2023/02/24 by Samuel Holt, Holt, Samuel, Alihan Hüyük +7 · 1 citation
Computer Science · Engineering · #Adaptive Dynamic Programming Control #Advanced Control Systems Optimization #Artificial Intelligence (cs.AI) #E.1 #FOS: Computer and information sciences #I.2.5 #I.2.6 #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Robotics (cs.RO)
- Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
2023/10/11 by Hao Sun, Alihan Hüyük, Sun, Hao +5 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning in Healthcare #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
2024/06/19 by Nabeel Seedat, Nicolas Huynh, Seedat, Nabeel +5 · 2 citations
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Topic Modeling
- Position: The ML Community Must Build an AI-Augmented Peer-Review Ecosystem
2025/06/09 by Qiyao Wei, Wei, Qiyao, Samuel Holt +7 · 3 citations
Computer Science · Decision Sciences · Medicine · #68T07 #68T50 #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computers and Society (cs.CY) #Expert finding and Q&A systems #FOS: Computer and information sciences #H.5.3 #I.2.7 #Scientific Computing and Data Management
- Towards Automated Knowledge Integration From Human-Interpretable Representations
2024/02/25 by Katarzyna Kobalczyk, Kobalczyk, Katarzyna, Mihaela van der Schaar +1 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
- G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
2025/06/10 by Samuel Holt, Holt, Samuel, Max Ruiz Luyten +5 · 2 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Generative Adversarial Networks and Image Synthesis
- Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs
2025/02/04 by Hao Sun, Yunyi Shen, Sun, Hao +5 · 3 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques
- Defining Expertise: Applications to Treatment Effect Estimation
2024/03/01 by Alihan Hüyük, Hüyük, Alihan, Qiyao Wei +5 · 1 citation
Mathematics · #Advanced Causal Inference Techniques
- A Foundational Framework and Methodology for Personalized Early and Timely Diagnosis
2023/11/26 by Tim Schubert, Schubert, Tim, Richard Peck +7 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Unveiling the Power of Sparse Neural Networks for Feature Selection
2024/08/08 by Zahra Atashgahi, Atashgahi, Zahra, Tennison Liu +9 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications
- Inverse Reinforcement Learning Meets Large Language Model Post-Training: Basics, Advances, and Opportunities
2025/07/17 by Hao Sun, Mihaela van der Schaar, Sun, Hao +1 · 4 citations
Computer Science · #Speech and dialogue systems
- Machine Learning with Requirements: a Manifesto
2023/04/07 by Eleonora Giunchiglia, Fergus Imrie, Giunchiglia, Eleonora +5 · 1 citation
Computer Science · #Software System Performance and Reliability #Software Engineering Research #Software Engineering Techniques and Practices
- Active Task Disambiguation with LLMs
2025/02/06 by Katarzyna Kobalczyk, Nicolás Astorga, Kobalczyk, Katarzyna +5 · 1 citation
Business, Management and Accounting · Engineering · Health Professions · #Advanced Data Processing Techniques #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare #Business Process Modeling and Analysis #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Context-Aware Testing: A New Paradigm for Model Testing with Large Language Models
2024/10/31 by Paulius Rauba, Rauba, Paulius, Nabeel Seedat +5 · 2 citations
Computer Science · Decision Sciences · #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies #Topic Modeling
- Fact-Augmented Lookahead Planning for LLM Agents
2025/06/10 by Samuel Holt, Max Ruiz Luyten, Holt, Samuel +5 · 2 citations
Computer Science · Medicine · #Topic Modeling #Multimodal Machine Learning Applications #Artificial Intelligence in Healthcare and Education
- Accounting for Unobserved Confounding in Domain Generalization
2020/07/21 by Alexis Bellot, Bellot, Alexis, Mihaela van der Schaar +1 · 3 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Machine Learning in Healthcare #COVID-19 diagnosis using AI
- CliMB: An AI-enabled Partner for Clinical Predictive Modeling
2024/09/30 by Evgeny Saveliev, Saveliev, Evgeny, Tim Schubert +7 · 1 citation
Computer Science · #Machine Learning in Healthcare
- When is Off-Policy Evaluation (Reward Modeling) Useful in Contextual Bandits? A Data-Centric Perspective
2023/11/23 by Hao Sun, Sun, Hao, Alex Chan +7 · 1 citation
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Delphi Technique in Research #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare