Introduction Outline 0 Introduction ②Learning to Hash Isotropic Hashing o Supervised Hashing with Latent Factor Models Supervised Multimodal Hashing with SCM o Multiple-Bit Quantization Distributed Learning Coupled Group Lasso for Web-Scale CTR Prediction o Distributed Power-Law Graph Computing Stochastic Learning Distributed Stochastic ADMM for Matrix Factorization ⑤Conclusion 4日卡0，·三·4元至)及0 Li (http://cs.nju.edu.cn/lvj) Big Leaming CS.NJU 3/79Introduction Outline 1 Introduction 2 Learning to Hash Isotropic Hashing Supervised Hashing with Latent Factor Models Supervised Multimodal Hashing with SCM Multiple-Bit Quantization 3 Distributed Learning Coupled Group Lasso for Web-Scale CTR Prediction Distributed Power-Law Graph Computing 4 Stochastic Learning Distributed Stochastic ADMM for Matrix Factorization 5 Conclusion Li (http://cs.nju.edu.cn/lwj) Big Learning CS, NJU 3 / 79