Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives

23 October 2021

Chuanwei Ruan

Sushant Kumar

Papers citing "Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives"

31 / 31 papers shown

Title
Information-Theoretic Generalization Bounds for Transductive Learning and its Applications Huayi Tang Yong Liu 126 0 0 08 Nov 2023
Understanding the role of importance weighting for deep learning Da Xu Yuting Ye Chuanwei Ruan FAtt 74 44 0 28 Mar 2021
Theoretical Understandings of Product Embedding for E-commerce Machine Learning Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan 55 12 0 24 Feb 2021
Adversarial Counterfactual Learning and Evaluation for Recommender System Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan OffRL CML 54 33 0 08 Nov 2020
Neural Collaborative Filtering vs. Matrix Factorization Revisited Steffen Rendle Walid Krichene Li Zhang John R. Anderson 47 422 0 19 May 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss Lénaïc Chizat Francis R. Bach MLT 143 341 0 11 Feb 2020
Evaluation Metrics for Item Recommendation under Sampling Steffen Rendle 57 20 0 04 Dec 2019
Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback Yuta Saito Suguru Yaginuma Yuta Nishino Hayato Sakata Kazuhide Nakata CML 59 268 0 09 Sep 2019
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks Kaifeng Lyu Jian Li 98 336 0 13 Jun 2019
Efficient and Accurate Estimation of Lipschitz Constants for Deep Neural Networks Mahyar Fazlyab Alexander Robey Hamed Hassani M. Morari George J. Pappas 102 461 0 12 Jun 2019
Implicit Regularization in Deep Matrix Factorization Sanjeev Arora Nadav Cohen Wei Hu Yuping Luo AI4CE 91 509 0 31 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 238 928 0 26 Apr 2019
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit Song Mei Theodor Misiakiewicz Andrea Montanari MLT 82 279 0 16 Feb 2019
Scaling Limits of Wide Neural Networks with Weight Sharing: Gaussian Process Behavior, Gradient Independence, and Neural Tangent Kernel Derivation Greg Yang 172 289 0 13 Feb 2019
Fine-Grained Analysis of Optimization and Generalization for Overparameterized Two-Layer Neural Networks Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruosong Wang MLT 208 974 0 24 Jan 2019
A Convergence Theory for Deep Learning via Over-Parameterization Zeyuan Allen-Zhu Yuanzhi Li Zhao Song AI4CE ODL 266 1,469 0 09 Nov 2018
Gradient Descent Finds Global Minima of Deep Neural Networks S. Du Jason D. Lee Haochuan Li Liwei Wang Masayoshi Tomizuka ODL 229 1,136 0 09 Nov 2018
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel Colin Wei Jason D. Lee Qiang Liu Tengyu Ma 233 245 0 12 Oct 2018
Implicit Bias of Gradient Descent on Linear Convolutional Networks Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro MDE 124 414 0 01 Jun 2018
Lipschitz regularity of deep neural networks: analysis and efficient estimation Kevin Scaman Aladin Virmaux 88 531 0 28 May 2018
Characterizing Implicit Bias in Terms of Optimization Geometry Suriya Gunasekar Jason D. Lee Daniel Soudry Nathan Srebro AI4CE 73 413 0 22 Feb 2018
Offline A/B testing for Recommender Systems Alexandre Gilotte Clément Calauzènes Thomas Nedelec A. Abraham Simon Dollé OffRL 81 222 0 22 Jan 2018
Size-Independent Sample Complexity of Neural Networks Noah Golowich Alexander Rakhlin Ohad Shamir 154 551 0 18 Dec 2017
The Implicit Bias of Gradient Descent on Separable Data Daniel Soudry Elad Hoffer Mor Shpigel Nacson Suriya Gunasekar Nathan Srebro 163 924 0 27 Oct 2017
Implicit Regularization in Matrix Factorization Suriya Gunasekar Blake E. Woodworth Srinadh Bhojanapalli Behnam Neyshabur Nathan Srebro 81 493 0 25 May 2017
Understanding deep learning requires rethinking generalization Chiyuan Zhang Samy Bengio Moritz Hardt Benjamin Recht Oriol Vinyals HAI 351 4,635 0 10 Nov 2016
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Amit Daniely Roy Frostig Y. Singer 170 345 0 18 Feb 2016
Recommendations as Treatments: Debiasing Learning and Evaluation Tobias Schnabel Adith Swaminathan Ashudeep Singh Navin Chandak Thorsten Joachims CML 164 686 0 17 Feb 2016
Modeling User Exposure in Recommendation Dawen Liang Laurent Charlin James McInerney David M. Blei 125 390 0 23 Oct 2015
An Introduction to Matrix Concentration Inequalities J. Tropp 178 1,155 0 07 Jan 2015
Transductive Rademacher Complexity and its Applications Ran El-Yaniv Dmitry Pechyony 96 121 0 15 Jan 2014