Source code for Twitter's Recommendation Algorithm

A highly efficient implementation of Gaussian Processes in PyTorch

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

A Configurable Recommender Systems Simulation Platform

Experimental design and (multi-objective) bayesian optimization.

[ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"

A highly efficient and modular implementation of Gaussian Processes in PyTorch