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Reinforcement Learning Multi-Armed Bandit Recommender System Sequence Modeling Feature Interaction ByteDance Policy Entropy Renyi Entropy Policy Gradient Policy Safety Finite Markov Decision Process Bellman Equation Dynamic Programming Policy Iteration Value Iteration Banach Fixed Point Theorem Distribution Matching Generative Modeling VAE DDPM Flow Matching GAN Variational Inference Variational Auto-Encoder Hierarchical VAE Denoising Diffusion Probabilistic Model Energy-based Model Flow-based Method Velocity Field Optimal Transport Flow Model Continuity Equation Instantaneous Change of Variables Formula Bregman Divergence Multi-objective Optimization AUC Optimization Optimizer Machine Learning Deep Learning Optimization Theory Kimi Newton-Schulz LLM Entropy Safe Stochastic Process Linear Correlation Correlation Function Wide State Stationary Bochner's Theorem Wiener-Khintchine Theorem Cyclostationary Process PAM Orthogonal Increment Process Brownian Motion White Noise Multivariate Correlation Whitening PCA K-L Expansion Stieltjes Integral Spectral Representation Gaussian Process Diffusion Central Limit Theorem Law of Large Numbers Random Walk