Christian Walder
Christian Walder
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R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
LegendreTron: Uprising Proper Multiclass Loss Learning
Determinantal Point Process Likelihoods for Sequential Recommendation
EditVAE: Unsupervised Part-Aware Controllable 3D Point Cloud Shape Generation
TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning
All your loss are belong to Bayes
Quantile Propagation for Wasserstein-Approximate Gaussian Processes
Variational Inference for Sparse Gaussian Process Modulated Hawkes Process
Efficient non-parametric Bayesian Hawkes processes
Monge blunts Bayes: Hardness results for adversarial training
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