vix.ing · top · new · best · stats · spec

Danica J. Sutherland

  1. Demystifying MMD GANs
    2018/01/04 by Mikołaj Bińkowski, Bińkowski, Mikołaj, Danica J. Sutherland +5 · 126 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  2. Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy
    2016/11/14 by Danica J. Sutherland, Sutherland, Danica J., Hsiao-Yu Fish Tung +11 · 12 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Digital Media Forensic Detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Neural and Evolutionary Computing (cs.NE)
  3. Learning Dynamics of LLM Finetuning
    2024/07/15 by Yi Ren, Danica J. Sutherland, Ren, Yi +1 · 26 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Machine Learning (cs.LG) #Multi-Agent Systems and Negotiation #Natural Language Processing Techniques
  4. Self-Supervised Learning with Kernel Dependence Maximization
    2021/06/15 by Yazhe Li, Li, Yazhe, Roman Pogodin +5 · 8 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
  5. On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization
    2025/05/24 by Wenlong Deng, Deng, Wenlong, Yi Ren +9 · 14 citations
    Social Sciences · #Advanced Computing and Algorithms #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Does Invariant Risk Minimization Capture Invariance?
    2021/01/04 by Pritish Kamath, Kamath, Pritish, Akilesh Tangella +5 · 3 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Bayesian Inference
  7. Practical Kernel Tests of Conditional Independence
    2024/02/20 by Roman Pogodin, Pogodin, Roman, Antonin Schrab +7 · 5 citations
    Mathematics · Computer Science · #Statistical Methods and Inference #Advanced Statistical Methods and Models #Bayesian Modeling and Causal Inference
  8. Why Do You Grok? A Theoretical Analysis of Grokking Modular Addition
    2024/07/17 by Mohamad Amin Mohamadi, Mohamadi, Mohamad Amin, Zhiyuan Li +5 · 4 citations
    Computer Science · #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  9. Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds, and\n Benign Overfitting
    2021/06/17 by Frederic Koehler, Koehler, Frederic, Lijia Zhou +5 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST)
  10. Kernels on Sample Sets via Nonparametric Divergence Estimates
    2012/02/01 by Danica J. Sutherland, Sutherland, Danica J., Liang Xiong +5 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #FOS: Computer and information sciences #Face and Expression Recognition #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  11. Meta Two-Sample Testing: Learning Kernels for Testing with Limited Data
    2021/06/14 by Liu, Feng, Wenkai Xu, Xu, Wenkai +3 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME)
  12. Generalized Coverage for More Robust Low-Budget Active Learning
    2024/07/16 by Wonho Bae, Bae, Wonho, Junhyug Noh +3 · 3 citations
    Computer Science · #Machine Learning and Algorithms
  13. The Role of Machine Learning in the Next Decade of Cosmology
    2019/02/26 by Michelle Ntampaka, Ntampaka, Michelle, Camille Avestruz +57 · 1 citation
    Physics and Astronomy · #Astronomy and Astrophysical Research #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Gamma-ray bursts and supernovae #Instrumentation and Methods for Astrophysics (astro-ph.IM)
  14. On Uniform Convergence and Low-Norm Interpolation Learning
    2020/06/10 by Lijia Zhou, Zhou, Lijia, Danica J. Sutherland +3 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
  15. Even Sparser Graph Transformers
    2024/11/25 by Hamed Shirzad, Honghao Lin, Shirzad, Hamed +11 · 1 voice · 2 citations
    Computer Science · Engineering · #Advanced Graph Neural Networks #Advanced Memory and Neural Computing #Graph Theory and Algorithms #cs.LG #stat.ML
  16. Improving Compositional Generalization Using Iterated Learning and Simplicial Embeddings
    2023/10/28 by Yi Ren, Samuel Lavoie, Ren, Yi +7 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computational Drug Discovery Methods #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Machine Learning in Materials Science
  17. Bias Amplification in Language Model Evolution: An Iterated Learning Perspective
    2024/04/04 by Yi Ren, Shangmin Guo, Ren, Yi +7 · 1 voice · 1 citation
    #cs.CL #cs.AI #cs.LG
  18. A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
    2022/10/21 by Lijia Zhou, Frederic Koehler, Zhou, Lijia +7 · 1 citation
    Mathematics · Computer Science · #Statistical Methods and Inference #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods