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Caroline Uhler

  1. Characterizing and Learning Equivalence Classes of Causal DAGs under Interventions
    2018/02/17 by Karren Yang, Abigail Katcoff, Yang, Karren D. +3 · 11 citations
    Computer Science · Engineering · #Applications (stat.AP) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Fault Detection and Control Systems #Formal Methods in Verification #Methodology (stat.ME) #Statistics Theory (math.ST)
  2. Permutation-Based Causal Structure Learning with Unknown Intervention\n Targets
    2019/10/20 by Chandler Squires, Yuhao Wang, Squires, Chandler +3 · 8 citations
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference #Statistical Methods in Clinical Trials
  3. Multiscale Simulations of Complex Systems by Learning their Effective Dynamics
    2020/06/24 by Pantelis R. Vlachas, Georgios Arampatzis, Vlachas, Pantelis R. +5 · 8 citations
    Computer Science · #Chaotic Dynamics (nlin.CD) #Computational Physics (physics.comp-ph) #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
  4. Identifiability Guarantees for Causal Disentanglement from Soft Interventions
    2023/07/12 by Jiaqi Zhang, Chandler Squires, Zhang, Jiaqi +8 · 13 citations
    Biochemistry, Genetics and Molecular Biology · #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
  5. Consistency guarantees for greedy permutation-based causal inference algorithms
    2020/12/12 by L Solus, Liam Solus, Y Wang +3 · 12 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Bayesian Modeling and Causal Inference #Machine Learning and Algorithms #Genome Rearrangement Algorithms
  6. Ordering-Based Causal Structure Learning in the Presence of Latent Variables
    2019/10/20 by Daniel Irving Bernstein, Bernstein, Daniel Irving, Basil Saeed +5 · 4 citations
    Computer Science · #AI-based Problem Solving and Planning #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistics Theory (math.ST)
  7. ABCD-Strategy: Budgeted Experimental Design for Targeted Causal Structure Discovery
    2019/02/27 by Raj Agrawal, Agrawal, Raj, Chandler Squires +7 · 4 citations
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Computational Drug Discovery Methods #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods in Clinical Trials
  8. Active Learning for Optimal Intervention Design in Causal Models
    2022/09/10 by Jiaqi Zhang, Zhang, Jiaqi, Louis V. Cammarata +7 · 6 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #FOS: Computer and information sciences #Gene Regulatory Network Analysis #Machine Learning (cs.LG) #Machine Learning and Algorithms #Methodology (stat.ME) #Single-cell and spatial transcriptomics
  9. Multivariate Gaussians, Semidefinite Matrix Completion, and Convex Algebraic Geometry
    2009/06/18 by Bernd Sturmfels, Sturmfels, Bernd, Caroline Uhler +1 · 2 citations
    Computer Science · Mathematics · #14Q10 #62H12 #90C25 #Advanced Statistical Methods and Models #Algebraic Geometry (math.AG) #Data Management and Algorithms #FOS: Mathematics #Optimization and Control (math.OC) #Statistics Theory (math.ST) #Topological and Geometric Data Analysis
  10. Consistency Guarantees for Greedy Permutation-Based Causal Inference\n Algorithms
    2017/02/12 by Liam Solus, Yuhao Wang, Solus, Liam +3 · 3 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Modeling and Causal Inference #FOS: Mathematics #Genome Rearrangement Algorithms #Machine Learning and Algorithms #Statistics Theory (math.ST)
  11. Minimal I-MAP MCMC for Scalable Structure Discovery in Causal DAG Models
    2018/03/15 by Raj Agrawal, Tamara Broderick, Agrawal, Raj +3 · 3 citations
    Computer Science · Decision Sciences · #Bayesian Modeling and Causal Inference #Computation (stat.CO) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  12. Joint Inference of Multiple Graphs from Matrix Polynomials
    2020/10/16 by Madeline Navarro, Navarro, Madeline, Yuhao Wang +7 · 3 citations
    Computer Science · Neuroscience · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #Social and Information Networks (cs.SI) #electronic engineering #information engineering
  13. Unpaired Multi-Domain Causal Representation Learning
    2023/02/02 by Nils Sturma, Chandler Squires, Sturma, Nils +5 · 4 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME)
  14. Direct Estimation of Differences in Causal Graphs
    2018/02/15 by Yuhao Wang, Wang, Yuhao, Chandler Squires +5 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Mathematics · #Advanced Causal Inference Techniques #Bioinformatics and Genomic Networks #FOS: Computer and information sciences #Gene expression and cancer classification #Methodology (stat.ME)
  15. Causal Discovery with Fewer Conditional Independence Tests
    2024/06/03 by Kirankumar Shiragur, Jiaqi Zhang, Shiragur, Kirankumar +3 · 4 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
  16. Exact formulas for the normalizing constants of Wishart distributions\n for graphical models
    2014/06/18 by Caroline Uhler, Uhler, Caroline, Alex Lenkoski +3 · 1 citation
    Computer Science · Mathematics · #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference #Advanced Statistical Methods and Models
  17. Extremal Positive Semidefinite Matrices for Graphs without K5 Minors
    2015/06/22 by Liam Solus, Solus, Liam, Caroline Uhler +3 · 1 citation
    Computer Science · Engineering · #Advanced Graph Theory Research #Combinatorics (math.CO) #Complexity and Algorithms in Graphs #FOS: Mathematics #Sparse and Compressive Sensing Techniques
  18. Learning High-dimensional Gaussian Graphical Models under Total Positivity without Adjustment of Tuning Parameters
    2019/06/12 by Yuhao Wang, Uma Roy, Wang, Yuhao +3 · 1 citation
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Methodology (stat.ME) #Statistical Methods and Inference
  19. Covariance Matrix Estimation under Total Positivity for Portfolio\n Selection
    2019/09/09 by Raj Agrawal, Agrawal, Raj, Uma Roy +3 · 1 citation
    Decision Sciences · Economics, Econometrics and Finance · #Applications (stat.AP) #FOS: Computer and information sciences #Financial Markets and Investment Strategies #Forecasting Techniques and Applications #Methodology (stat.ME) #Stock Market Forecasting Methods
  20. Size of Interventional Markov Equivalence Classes in Random DAG Models
    2019/03/05 by Dmitriy Katz, Katz, Dmitriy, Chandler Squires +4 · 1 citation
    Computer Science · Mathematics · #Advanced Causal Inference Techniques #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods in Clinical Trials
  21. Near-Optimal Multi-Perturbation Experimental Design for Causal Structure\n Learning
    2021/05/28 by Scott Sussex, Sussex, Scott, Andreas Krause +3 · 1 citation
    Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
  22. Transfer Learning with Kernel Methods
    2022/11/01 by Adityanarayanan Radhakrishnan, Radhakrishnan, Adityanarayanan, Max Ruiz Luyten +5 · 1 citation
    Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Season combinatorial intervention predictions with Salt & Peper
    2024/04/25 by Thomas Gaudelet, Alice Del Vecchio, Gaudelet, Thomas +11 · 1 citation
    Computer Science · Engineering · #Cell Behavior (q-bio.CB) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Optimization and Mathematical Programming
  24. MultiLoReFT: Decoupling Shared and Modality-Specific Subspaces in Multimodal Learning via Low-Rank Representation Fine-Tuning
    2026/07/18 by Sana Tonekaboni, Viktoria Schuster, Caroline Uhler
    #cs.LG