Susan Wei

1. The Fairness-Accuracy Pareto Front
   2020/08/25 by Susan Wei, Marc Niethammer, Wei, Susan +1 · 5 citations
   Computer Science · #Reinforcement Learning in Robotics #Explainable Artificial Intelligence (XAI) #Adversarial Robustness in Machine Learning
2. Dynamical versus Bayesian Phase Transitions in a Toy Model of Superposition
   2023/10/10 by Zhongtian Chen, Chen, Zhongtian, Edmund Lau +7 · 6 citations
   Computer Science · #62F15 #68T07 #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
3. A Shooting Formulation of Deep Learning
   2020/06/17 by François‐Xavier Vialard, Vialard, François-Xavier, Roland Kwitt +5 · 2 citations
   Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #FOS: Mathematics #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Optimization and Control (math.OC)
4. Temperature Optimization for Bayesian Deep Learning
   2024/10/08 by K.C. Ng, Ng, Kenyon, Chris van der Heide +5 · 1 citation
   Computer Science · #Gaussian Processes and Bayesian Inference
5. Uncertainty Decomposition for Bayes-Filtered Transformers via Bayesian Predictive Inference
   2026/02/04 by Sandra Fortini, Kenyon Ng, Sonia Petrone +2 · 2 citations
   #stat.ML #cs.LG #stat.ME
6. What does a Bayes-filtered transformer believe? A predictive Monte Carlo approach
   2026/07/19 by Afiq Abdillah Effiezal Aswadi, Haotong Ma, Susan Wei · 1 citation
   #cs.LG
7. Elicitation without Backpropagation: Steering Model Behavior by Optimizing the Latent Posterior
   2026/07/21 by Garrett Baker, Vinayak Pathak, Daniel Murfet +1
   #cs.LG #stat.ML