A Convex Formulation for Mixed Regression with Two Components: Minimax Optimal Rates
Constantine Caramanis , Xinyang Yi , Yudong Chen
arXiv: Machine Learning
70
2013
Alternating Minimization for Mixed Linear Regression
Constantine Caramanis , Sujay Sanghavi , Xinyang Yi
international conference on machine learning 613 -621
129
2014
More Supervision, Less Computation: Statistical-Computational Tradeoffs in Weakly Supervised Learning
Constantine Caramanis , Zhaoran Wang , Xinyang Yi , Zhuoran Yang
neural information processing systems 29 4475 -4483
4
2016
Minimax Gaussian Classification & Clustering
Constantine Caramanis , Xinyang Yi , Pradeep Ravikumar , Tianyang Li
international conference on artificial intelligence and statistics 1 -9
3
2017
2016
Binary Embedding: Fundamental Limits and Fast Algorithm
Constantine Caramanis , Xinyang Yi , Eric Price
arXiv: Data Structures and Algorithms
45
2015
Fast Algorithms for Robust PCA via Gradient Descent
Constantine Caramanis , Xinyang Yi , Yudong Chen , Dohyung Park
neural information processing systems 29 4152 -4160
262
2016
Regularized EM algorithms: a unified framework and statistical guarantees
Constantine Caramanis , Xinyang Yi
neural information processing systems 28 1567 -1575
90
2015
Optimal linear estimation under unknown nonlinear transform
Constantine Caramanis , Zhaoran Wang , Xinyang Yi , Han Liu
neural information processing systems 28 1549 -1557
7
2015
Learning Multi-granular Quantized Embeddings for Large-Vocab Categorical Features in Recommender Systems
Lichan Hong , Xinyang Yi , Ed H. Chi , Ting Chen
arXiv: Information Retrieval
27
2020
Self-supervised Learning for Large-scale Item Recommendations
Tiansheng Yao , Xinyang Yi , Derek Zhiyuan Cheng , Felix Yu
arXiv: Learning
65
2020
A Model of Two Tales: Dual Transfer Learning Framework for Improved Long-tail Item Recommendation.
Lichan Hong , Xinyang Yi , Ed H. Chi , Tiansheng Yao
arXiv: Information Retrieval
33
2020
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model
Lichan Hong , Xinyang Yi , Qiaozhu Mei , Ed H. Chi
international conference on artificial intelligence and statistics 928 -936
6
2020
Mixed Negative Sampling for Learning Two-tower Neural Networks in Recommendations
Ji Yang , Xinyang Yi , Derek Zhiyuan Cheng , Lichan Hong
Companion Proceedings of the Web Conference 2020 441 -447
56
2020
Sampling-bias-corrected neural modeling for large corpus item recommendations
Xinyang Yi , Ji Yang , Lichan Hong , Derek Zhiyuan Cheng
conference on recommender systems 269 -277
108
2019
Recommending what video to watch next: a multitask ranking system
Zhe Zhao , Lichan Hong , Li Wei , Jilin Chen
conference on recommender systems 43 -51
216
2019
End-to-End Deep Attentive Personalized Item Retrieval for Online Content-sharing Platforms
Jyun-Yu Jiang , Tao Wu , Georgios Roumpos , Heng-Tze Cheng
the web conference 2870 -2877
2
2020
Off-policy Learning in Two-stage Recommender Systems
Jiaqi Ma , Zhe Zhao , Xinyang Yi , Ji Yang
the web conference 463 -473
55
2020
Novel power grid reduction method based on L1 regularization
Ye Wang , Meng Li , Xinyang Yi , Zhao Song
design automation conference 93
1
2015
Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
Jiaqi Ma , Zhe Zhao , Xinyang Yi , Jilin Chen
knowledge discovery and data mining 1930 -1939
438
2018