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Steven Kleinegesse

  1. Bayesian Experimental Design for Implicit Models by Mutual Information Neural Estimation
    2020/02/19 by Steven Kleinegesse, Michael U. Gutmann, Kleinegesse, Steven +1 · 4 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference #Optimal Experimental Design Methods
  2. Implicit Deep Adaptive Design: Policy-Based Experimental Design without Likelihoods
    2021/11/03 by Desi R. Ivanova, Ivanova, Desi R., Adam S. Foster +8 · 5 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Artificial Intelligence (cs.AI) #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimal Experimental Design Methods #Probabilistic and Robust Engineering Design
  3. Gradient-based Bayesian Experimental Design for Implicit Models using Mutual Information Lower Bounds
    2021/05/10 by Steven Kleinegesse, Kleinegesse, Steven, Michael U. Gutmann +1 · 4 citations
    Computer Science · Decision Sciences · #62K05 #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Methodology (stat.ME) #Optimal Experimental Design Methods
  4. Efficient Bayesian Experimental Design for Implicit Models
    2018/10/23 by Steven Kleinegesse, Michael U. Gutmann, Kleinegesse, Steven +1 · 3 citations
    Computer Science · Decision Sciences · #Advanced Multi-Objective Optimization Algorithms #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimal Experimental Design Methods
  5. Sequential Bayesian Experimental Design for Implicit Models via Mutual\n Information
    2020/03/20 by Steven Kleinegesse, Kleinegesse, Steven, Christopher Drovandi +3 · 1 citation
    Computer Science · Decision Sciences · #62K05 #62L05 #Advanced Multi-Objective Optimization Algorithms #Advanced Statistical Process Monitoring #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Optimal Experimental Design Methods
  6. Domain Knowledge in A*-Based Causal Discovery
    2022/08/17 by Steven Kleinegesse, Kleinegesse, Steven, Andrew R. Lawrence +3 · 1 citation
    Computer Science · #68T99 #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Rough Sets and Fuzzy Logic