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A Universal Sets-level Optimization Framework for Next Set Recommendation

Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming

Probabilistic Attention for Sequential Recommendation

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving

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