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Matthew D. Hoffman

  1. Underspecification Presents Challenges for Credibility in Modern Machine Learning
    2020/11/06 by Alexander D'Amour, Alexander D’Amour, D'Amour, Alexander +81 · 8 voices · 43 citations
    Computer Science · Mathematics · #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare #Topic Modeling #cs.LG #stat.ML
  2. Deep Probabilistic Programming
    2017/01/13 by Dustin Tran, Matthew D. Hoffman, Tran, Dustin +9 · 4 voices · 6 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.LG #cs.PL #stat.CO #stat.ML
  3. The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
    2011/11/18 by Matthew D. Hoffman, Hoffman, Matthew D., Andrew Gelman +1 · 163 citations
    Computer Science · Mathematics · #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods
  4. Variational Autoencoders for Collaborative Filtering
    2018/02/16 by Dawen Liang, Liang, Dawen, Rahul G. Krishnan +5 · 42 citations
    Computer Science · #Recommender Systems and Techniques #Music and Audio Processing #Generative Adversarial Networks and Image Synthesis
  5. Music Transformer
    2018/09/12 by Cheng-Zhi Anna Huang, Ashish Vaswani, Huang, Cheng-Zhi Anna +17 · 19 citations
    Computer Science · Neuroscience · #Music and Audio Processing #Music Technology and Sound Studies #Neuroscience and Music Perception
  6. What Are Bayesian Neural Network Posteriors Really Like?
    2021/04/29 by Pavel Izmailov, Sharad Vikram, Izmailov, Pavel +5 · 21 citations
    Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
  7. Stochastic Gradient Descent as Approximate Bayesian Inference
    2017/04/13 by Stephan Mandt, Matthew D. Hoffman, David M. Blei · 1 voice · 11 citations
    Mathematics · Computer Science · #stat.ML #cs.LG
  8. Predictive Entropy Search for Bayesian Optimization with Unknown Constraints
    2015/02/18 by José Miguel Hernández-Lobato, Michael A. Gelbart, Hernández-Lobato, José Miguel +7 · 8 citations
    Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Algorithms
  9. Training Chain-of-Thought via Latent-Variable Inference
    2023/11/28 by Du Phan, Matthew D. Hoffman, Phan, Du +17 · 12 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Explainable Artificial Intelligence (XAI)
  10. NeuTra-lizing Bad Geometry in Hamiltonian Monte Carlo Using Neural Transport
    2019/03/09 by Matthew D. Hoffman, Pavel Sountsov, Hoffman, Matthew +9 · 8 citations
    Computer Science · Mathematics · Physics and Astronomy · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks
  11. Latent Constraints: Learning to Generate Conditionally from Unconditional Generative Models
    2017/11/15 by Jesse Engel, Engel, Jesse, Matthew Hoffman +5 · 6 citations
    Computer Science · Physics and Astronomy · #Computer Graphics and Visualization Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Neural and Evolutionary Computing (cs.NE)
  12. Lossy Compression with Gaussian Diffusion
    2022/06/17 by Lucas Theis, Theis, Lucas, Tim Salimans +5 · 7 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Advanced Data Compression Techniques #Algorithms and Data Compression
  13. Running Markov Chain Monte Carlo on Modern Hardware and Software
    2024/11/06 by Pavel Sountsov, Sountsov, Pavel, Colin Carroll +3 · 4 voices · 4 citations
    Decision Sciences · #Simulation Techniques and Applications
  14. Automatic Reparameterisation of Probabilistic Programs
    2019/06/07 by Maria I. Gorinova, Gorinova, Maria I., Dave Moore +3 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Programming Languages (cs.PL)
  15. The Stan Math Library: Reverse-Mode Automatic Differentiation in C++
    2015/09/23 by Bob Carpenter, Matthew D. Hoffman, Carpenter, Bob +9 · 3 citations
    Computer Science · Decision Sciences · Mathematics · #F.2.1 #FOS: Computer and information sciences #G.1.0 #G.1.3 #G.1.4 #Markov Chains and Monte Carlo Methods #Mathematical Software (cs.MS) #Numerical Methods and Algorithms #Simulation Techniques and Applications
  16. ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images
    2022/10/27 by Matthew D. Hoffman, Hoffman, Matthew D., Tuan Anh Lê +11 · 2 citations
    Computer Science · Engineering · #3D Shape Modeling and Analysis #62F15 (Primary) 68T45 (Secondary) #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #G.3 #Generative Adversarial Networks and Image Synthesis #I.4.10 #I.5.1 #Machine Learning (cs.LG)
  17. Nested Rˆ: Assessing the Convergence of Markov Chain Monte Carlo When Running Many Short Chains
    2024/07/31 by Charles C. Margossian, Matthew D. Hoffman, Pavel Sountsov +3 · 1 voice · 2 citations
    Mathematics · Computer Science · #Markov Chains and Monte Carlo Methods #Statistical Methods and Inference #Bayesian Methods and Mixture Models
  18. Multimodal Prediction and Personalization of Photo Edits with Deep Generative Models
    2017/04/17 by Ardavan Saeedi, Saeedi, Ardavan, Matthew D. Hoffman +9 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Image Retrieval and Classification Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)