Jeffrey Chan

1. A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
   2018/02/16 by Jeffrey Chan, Chan, Jeffrey, Valerio Perrone +9 · 6 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Bayesian Methods and Mixture Models #FOS: Biological sciences #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Gene expression and cancer classification #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Populations and Evolution (q-bio.PE)
2. Two-Locus Likelihoods under Variable Population Size and Fine-Scale\n Recombination Rate Estimation
   2015/10/20 by Jack Kamm, Jeffrey P. Spence, Kamm, John A. +5 · 1 citation
   Biochemistry, Genetics and Molecular Biology · #Evolution and Genetic Dynamics #Genetic diversity and population structure #Genomics and Phylogenetic Studies
3. Divide and Learn: A Divide and Conquer Approach for Predict+Optimize
   2020/12/04 by Ali Ugur Guler, Emir Demirović, Guler, Ali Ugur +9 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Control (math.OC)
4. Watch Out E-scooter Coming Through: Multimodal Sensing of Mixed Traffic Use and Conflicts Through Riders Ego-centric Views
   2025/02/24 by Hiruni Kegalle, Kegalle, Hiruni Nuwanthika, Danula Hettiachchi +7 · 2 citations
   Social Sciences · #Computers and Society (cs.CY) #FOS: Computer and information sciences #Social Media and Politics
5. Perfect Counterfactuals in Imperfect Worlds: Modelling Noisy Implementation of Actions in Sequential Algorithmic Recourse
   2024/10/03 by Yueqing Xuan, Xuan, Yueqing, Kacper Sokol +5 · 1 citation
   Computer Science · #Computability, Logic, AI Algorithms #Distributed and Parallel Computing Systems #Distributed systems and fault tolerance #FOS: Computer and information sciences #Machine Learning (cs.LG)
6. BOIDS: High-dimensional Bayesian Optimization via Incumbent-guided Direction Lines and Subspace Embeddings
   2024/12/17 by Lam Ngo, Huong Ha, Ngo, Lam +5 · 3 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Machine Learning and Data Classification #Machine Learning and Algorithms