Patrick Shafto

1. Toward a general, scaleable framework for Bayesian teaching with applications to topic models
   2016/05/25 by Baxter Eaves, Patrick Shafto, Eaves, Baxter S. +1 · 2 citations
   Computer Science · #Advanced Text Analysis Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Natural Language Processing Techniques #Topic Modeling
2. Structured Evaluation of Synthetic Tabular Data
   2024/03/15 by Scott Cheng‐Hsin Yang, Yang, Scott Cheng-Hsin, Baxter Eaves +7 · 3 citations
   Social Sciences · #FOS: Computer and information sciences #Geographic Information Systems Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
   2015/12/03 by Vikash K. Mansinghka, Mansinghka, Vikash, Patrick Shafto +9 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML)
4. BayesDB: A probabilistic programming system for querying the probable implications of data
   2015/12/15 by Vikash K. Mansinghka, Mansinghka, Vikash, Richard Tibbetts +7 · 2 citations
   Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Forecasting Techniques and Applications #Time Series Analysis and Forecasting
5. Discrete Probabilistic Inverse Optimal Transport
   2021/12/17 by W. Henry Chiu, Pei Wang, Chiu, Wei-Ting +3 · 1 citation
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
6. On Connecting Deep Trigonometric Networks with Deep Gaussian Processes:\n Covariance, Expressivity, and Neural Tangent Kernel
   2022/03/14 by Chi-Ken Lu, Patrick Shafto, Lu, Chi-Ken +1 · 1 citation
   Computer Science · Decision Sciences · #Gaussian Processes and Bayesian Inference #Forecasting Techniques and Applications
7. Coupled Variational Autoencoder
   2023/06/05 by Xiaoran Hao, Patrick Shafto, Hao, Xiaoran +1 · 1 citation
   Computer Science · #AI in cancer detection #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. The Theoretical and Methodological Opportunities Afforded by Guided Play With Young Children
   2018/07/17 by Yue Yu, Patrick Shafto, Elizabeth Bonawitz +5 · 1 voice · 1 citation
   Psychology · Computer Science · #Innovative Teaching and Learning Methods #Child and Animal Learning Development #Teaching and Learning Programming
9. Action Gaps and Advantages in Continuous-Time Distributional Reinforcement Learning
   2024/10/14 by Harley Wiltzer, Marc G. Bellemare, Wiltzer, Harley +7 · 2 citations
   Computer Science · Engineering · #Adaptive Dynamic Programming Control #Extremum Seeking Control Systems #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Reinforcement Learning in Robotics