Walid Krichene

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All published works

Action	Title	Year	Authors
+ PDF Chat	Training Differentially Private Ad Prediction Models with Semi-Sensitive Features	2024	Lynn Chua Qiliang Cui Badih Ghazi Charlie Harrison Pritish Kamath Walid Krichene Ravi Kumar Pasin Manurangsi Krishna Giri Narra Amer Sinha
+	Private Matrix Factorization with Public Item Features	2023	Mihaela Curmei Walid Krichene Li Lyna Zhang Mukund Sundararajan
+	Multi-Task Differential Privacy Under Distribution Skew	2023	Walid Krichene Prateek Jain Shuang Song Mukund Sundararajan Abhradeep Thakurta Li Zhang
+	Private Matrix Factorization with Public Item Features	2023	Mihaela Curmei Walid Krichene Li Zhang Mukund Sundararajan
+	Private Learning with Public Features	2023	Walid Krichene Nicolas Mayoraz Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang
+	Revisiting the Performance of iALS on Item Recommendation Benchmarks	2022	Steffen Rendle Walid Krichene Li Zhang Yehuda Koren
+	Reciprocity in Machine Learning	2022	Mukund Sundararajan Walid Krichene
+	Differentially Private Image Classification from Features	2022	Harsh Mehta Walid Krichene Abhradeep Thakurta Alexey Kurakin Ashok Cutkosky
+	iALS++: Speeding up Matrix Factorization with Subspace Optimization	2021	Steffen Rendle Walid Krichene Li Zhang Yehuda Koren
+	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates	2021	Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang
+	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates	2021	Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang
+	ALX: Large Scale Matrix Factorization on TPUs	2021	Harsh Mehta Steffen Rendle Walid Krichene Li Zhang
+	Revisiting the Performance of iALS on Item Recommendation Benchmarks	2021	Steffen Rendle Walid Krichene Li Zhang Yehuda Koren
+	iALS++: Speeding up Matrix Factorization with Subspace Optimization	2021	Steffen Rendle Walid Krichene Li Zhang Yehuda Koren
+	Neural Collaborative Filtering vs. Matrix Factorization Revisited	2020	Steffen Rendle Walid Krichene Li Zhang John R. Anderson
+	Neural Collaborative Filtering vs. Matrix Factorization Revisited	2020	Steffen Rendle Walid Krichene Li Zhang John R. Anderson
+	Superbloom: Bloom filter meets Transformer	2020	John Roberts Anderson Qingqing Huang Walid Krichene Steffen Rendle Li Zhang
+	Global Convergence of Second-order Dynamics in Two-layer Neural Networks	2020	Walid Krichene Kenneth Paulo Caluya Abhishek Halder
+	Neural Collaborative Filtering vs. Matrix Factorization Revisited	2020	Steffen Rendle Walid Krichene Li Zhang J. D. Anderson
+	Scalable Realistic Recommendation Datasets through Fractal Expansions	2019	Francois Belletti Karthik Lakshmanan Walid Krichene Yifan Chen John R. Anderson
+	Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions	2019	Francois Belletti Karthik Lakshmanan Nicolas Mayoraz Walid Krichene Yifan Chen John R. Anderson Taylor Robie Tayo Oguntebi Amit Bleiwess Dan Shirron
+	Efficient Training on Very Large Corpora via Gramian Estimation	2018	Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. John R. Anderson
+	Efficient Training on Very Large Corpora via Gramian Estimation	2018	Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. John R. Anderson
+	Efficient Training on Very Large Corpora via Gramian Estimation	2018	Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. J. D. Anderson
+	Acceleration and Averaging in Stochastic Mirror Descent Dynamics	2017	Walid Krichene Peter L. Bartlett
+	Acceleration and Averaging in Stochastic Descent Dynamics	2017	Walid Krichene Peter L. Bartlett
+	Minimizing Regret on Reflexive Banach Spaces and Learning Nash Equilibria in Continuous Zero-Sum Games	2016	Maximilian Balandat Walid Krichene Claire J. Tomlin Alexandre M. Bayen
+	Adaptive Averaging in Accelerated Descent Dynamics	2016	Walid Krichene Alexandre M. Bayen Peter L. Bartlett
+ PDF Chat	Differential privacy of populations in routing games	2015	Roy Dong Walid Krichene Alexandre M. Bayen S. Shankar Sastry
+	Efficient Bregman projections onto the simplex	2015	Walid Krichene Syrine Krichene Alexandre M. Bayen
+	Convergence of heterogeneous distributed learning in stochastic routing games	2015	Syrine Krichene Walid Krichene Roy Dong Alexandre M. Bayen
+	Dual Averaging on Compactly-Supported Distributions And Application to No-Regret Learning on a Continuum	2015	Walid Krichene
+	Learning Nash Equilibria in Congestion Games	2014	Walid Krichene Benjamin Drighès Alexandre M. Bayen
+	Learning Nash Equilibria in Congestion Games	2014	Walid Krichene Benjamin Drighès Alexandre M. Bayen
+	Arriving on time: estimating travel time distributions on large-scale road networks	2013	Timothy Hunter Aude Hofleitner Jack Reilly Walid Krichene Jérôme Thai Anastasios Kouvelas Pieter Abbeel Alexandre M. Bayen
+	A Necessary and Sufficient Condition for the Existence of Potential Functions for Heterogeneous Routing Games	2013	Farhad Farokhi Walid Krichene Alexandre M. Bayen Karl Henrik Johansson

Common Coauthors

Coauthor	Papers Together
Steffen Rendle	15
Li Zhang	9
Alexandre M. Bayen	9
John R. Anderson	6
Abhradeep Thakurta	5
Nicolas Mayoraz	5
Li Zhang	4
Shuang Song	4
Mukund Sundararajan	4
Yehuda Koren	4
Xinyang Yi	3
Peter L. Bartlett	3
Lichan Hong	3
Ed H.	3
Li Zhang	2
Steve Chien	2
Harsh Mehta	2
Karthik Lakshmanan	2
Yifan Chen	2
Li Zhang	2
Mihaela Curmei	2
Francois Belletti	2
Prateek Jain	2
Benjamin Drighès	2
J. D. Anderson	2
Syrine Krichene	2
Roy Dong	2
Prateek Jain	1
Ravi Kumar	1
Badih Ghazi	1
S. Shankar Sastry	1
John Roberts Anderson	1
Qiliang Cui	1
Pritish Kamath	1
Krishna Giri Narra	1
Pasin Manurangsi	1
Dan Shirron	1
Amer Sinha	1
Qingqing Huang	1
Aude Hofleitner	1
Chiyuan Zhang	1
Abhishek Halder	1
Claire J. Tomlin	1
Karl Henrik Johansson	1
Pieter Abbeel	1
Alexey Kurakin	1
Avinash V. Varadarajan	1
Maximilian Balandat	1
Charlie Harrison	1
Li Lyna Zhang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Neural Collaborative Filtering	2017	Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu Tat‐Seng Chua	6
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck Nicolò Cesa‐Bianchi	5
+	Mirror descent and nonlinear projected subgradient methods for convex optimization	2003	Amir Beck Marc Teboulle	5
+	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems	2019	Steffen Rendle Li Zhang Yehuda Koren	4
+	Variational Autoencoders for Collaborative Filtering	2018	Dawen Liang Rahul G. Krishnan Matthew D. Hoffman Tony Jebara	4
+ PDF Chat	A variational perspective on accelerated methods in optimization	2016	Andre Wibisono Ashia C. Wilson Michael I. Jordan	4
+ PDF Chat	Adaptive Restart for Accelerated Gradient Schemes	2013	Brendan O’Donoghue Emmanuel J. Candès	3
+	Solving variational inequalities with stochastic mirror-prox algorithm	2011	Anatoli Juditsky Arkadi Nemirovski Claire Tauvel	3
+ PDF Chat	A Generic Coordinate Descent Framework for Learning from Implicit Feedback	2017	Immanuel Bayer Xiangnan He Bhargav Kanagal Steffen Rendle	3
+	Robust Stochastic Approximation Approach to Stochastic Programming	2009	Arkadi Nemirovski Anatoli Juditsky Guanghui Lan Alexander Shapiro	3
+	Clustering with Bregman Divergences	2004	Arindam Banerjee Srujana Merugu Inderjit S. Dhillon Joydeep Ghosh	3
+	Fast Convergence of an Inertial Gradient-like System with Vanishing Viscosity	2015	Juan Peypouquet-Urbaneja	3
+	A differential equation for modeling Nesterov's accelerated gradient method: theory and insights	2016	Weijie Su Stephen Boyd Emmanuel J. Candès	3
+	Efficient Training on Very Large Corpora via Gramian Estimation	2018	Walid Krichene Nicolas Mayoraz Steffen Rendle Li Zhang Xinyang Yi Lichan Hong Ed H. John R. Anderson	2
+	A Dual Framework for Low-rank Tensor Completion	2018	Madhav Nimishakavi Pratik Jawanpuria Bamdev Mishra	2
+	Structural Deep Embedding for Hyper-Networks	2017	Ke Tu Peng Cui Xiao Wang Fei Wang Wenwu Zhu	2
+ PDF Chat	Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems	2012	Sébastien Bubeck	2
+ PDF Chat	Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding	2018	Jiaxi Tang Ke Wang	2
+	Outer Product-based Neural Collaborative Filtering	2018	Xiangnan He Xiaoyu Du Xiang Wang Feng Tian Jinhui Tang Tat‐Seng Chua	2
+	Principal Component Analysis	2014	Ian T. Jolliffe	2
+	Active Positive Semidefinite Matrix Completion: Algorithms, Theory and Applications	2017	Aniruddha Bhargava Ravi Ganti Robert D. Nowak	2
+	Non-convex learning via Stochastic Gradient Langevin Dynamics: a nonasymptotic analysis	2017	Maxim Raginsky Alexander Rakhlin Matus Telgarsky	2
+ PDF Chat	On the long time behavior of second order differential equations with asymptotically small dissipation	2009	Alexandre Cabot Hans Engler Sébastien Gadat	2
+ PDF Chat	Embarrassingly Shallow Autoencoders for Sparse Data	2019	Harald Steck	2
+ PDF Chat	Deep Interest Network for Click-Through Rate Prediction	2018	Guorui Zhou Xiaoqiang Zhu Chenru Song Ying Fan Zhu Han Xiao Ma Yanghui Yan Junqi Jin Han Li Kun Gai	2
+ PDF Chat	Dynamics of stochastic approximation algorithms	1999	Michel Benaı̈m	2
+	A Sparse Interactive Model for Matrix Completion with Side Information.	2016	Jin Lü Guannan Liang Jiangwen Sun Jinbo Bi	2
+	A Neural Autoregressive Approach to Collaborative Filtering	2016	Yin Zheng Bangsheng Tang Wenkui Ding Hanning Zhou	2
+	Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation	2016	Yonghui Wu Mike Schuster Zhifeng Chen Quoc V. Le Mohammad Norouzi Wolfgang Macherey Maxim Krikun Yuan Cao Qin Gao Klaus Macherey	2
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	2
+	Underdamped Langevin MCMC: A non-asymptotic analysis	2017	Xiang Cheng Niladri S. Chatterji Peter L. Bartlett Michael I. Jordan	2
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	2
+	scikit-image: image processing in Python	2014	Stéfan van der Walt Johannes L. Schönberger Juan Nunez-Iglesias François Boulogne Joshua Warner Neil Yager Emmanuelle Gouillart Tony Yu	2
+ PDF Chat	Collaborative Deep Learning for Recommender Systems	2015	Hao Wang Naiyan Wang Dit‐Yan Yeung	2
+ PDF Chat	Fast Matrix Factorization for Online Recommendation with Implicit Feedback	2016	Xiangnan He Hanwang Zhang Min‐Yen Kan Tat‐Seng Chua	2
+	Kronecker Graphs: An Approach to Modeling Networks	2008	Jure Leskovec Deepayan Chakrabarti Jon Kleinberg Christos Faloutsos Zoubin Ghahramani	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	Itô's formula for C 1,λ -functions of a càdlàg process and related calculus	2002	Mohammed Errami Francesco Russo Pierre Vallois	2
+ PDF Chat	Challenging the long tail recommendation	2012	Hongzhi Yin Bin Cui Jing Li Junjie Yao Chen Chen	2
+ PDF Chat	Deep Learning with Differential Privacy	2016	Martı́n Abadi Andy Chu Ian Goodfellow H. Brendan McMahan Ilya Mironov Kunal Talwar Li Zhang	2
+	<i>The Fractal Geometry of Nature</i>	1983	Benoît B. Mandelbrot John Wheeler	2
+	Adaptive Averaging in Accelerated Descent Dynamics	2016	Walid Krichene Alexandre M. Bayen Peter L. Bartlett	2
+	How To Break Anonymity of the Netflix Prize Dataset	2006	Arvind Narayanan Vitaly Shmatikov	2
+	Robust dynamic classes revealed by measuring the response function of a social system	2008	Riley Crane Didier Sornette	2
+	Online convex programming and generalized infinitesimal gradient ascent	2003	Martin Zinkevich	2
+ PDF Chat	A Proximal Stochastic Gradient Method with Progressive Variance Reduction	2014	Lin Xiao Tong Zhang	2
+	Learning Nash Equilibria in Congestion Games	2014	Walid Krichene Benjamin Drighès Alexandre M. Bayen	2
+	How algorithmic confounding in recommendation systems increases homogeneity and decreases utility	2018	Allison J. B. Chaney Brandon Stewart Barbara E. Engelhardt	2
+	Stochastic Kronecker Graphs	2007	Mohammad Mahdian Ying Xu	2
+ PDF Chat	RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback	2020	Ilya Shenbin Anton Alekseev Elena Tutubalina Valentin Malykh Sergey Nikolenko	2