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Papers

Papers I have read or plan to read.

Economics

  • Spatial Learning and Path Dependence in Consumer Search
  • Artificial Intelligence and Auction Design
  • Algorithmic Pricing and Competition: Empirical Evidence from the German Retail Gasoline Market
  • Pricing with Algorithms
  • Autonomous Algorithmic Collusion: Q-Learning Under Sequential Pricing

Recommender System

  • Deep Neural Networks for YouTube Recommendations
  • Top-K Off-Policy Correction for a REINFORCE Recommender System
  • Sampling-Bias-Corrected Neural Modeling for Large Corpus Item Recommendations
  • Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
  • Session-based Recommendations with Recurrent Neural Networks

Neural Network

  • StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
  • A Note on the Evaluation of Generative Models
  • Generative Modeling by Estimating Gradients of the Data Distribution
  • Cold Diffusion
  • Extracting Data from Diffusion Models
  • beta VAE
  • ResNet
  • Kolmogrov-Arnold Network
  • Mamba
  • DIT