Bayesian Risk Optimization (BRO): A New Approach to Data-driven Stochastic Optimization Read more about Bayesian Risk Optimization (BRO): A New Approach to Data-driven Stochastic Optimization
MCMC vs. Variational Inference -- for Credible Learning and Decision-Making at Scale Read more about MCMC vs. Variational Inference -- for Credible Learning and Decision-Making at Scale
Bridging the Gap Between AI and Clinical Neuroscience via Deep-Generative Fusion Models Read more about Bridging the Gap Between AI and Clinical Neuroscience via Deep-Generative Fusion Models
Nonconvex first-order optimization: When can gradient descent escape saddle points in linear time? Read more about Nonconvex first-order optimization: When can gradient descent escape saddle points in linear time?
The efficiency of kernel methods on structured datasets Read more about The efficiency of kernel methods on structured datasets
Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning Read more about Preconditioning Helps: Faster Convergence in Statistical and Reinforcement Learning
Running and Analyzing Large-scale Psychology Experiments Read more about Running and Analyzing Large-scale Psychology Experiments
Preference Modeling with Context-Dependent Salient Features Read more about Preference Modeling with Context-Dependent Salient Features
