Walid Krichene

According to our database, Walid Krichene authored at least 48 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Training Differentially Private Ad Prediction Models with Semi-Sensitive Features.

Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang

CoRR, 2024

2023

Differentially Private Image Classification from Features.

Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky

Trans. Mach. Learn. Res., 2023

Private Learning with Public Features.

Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

CoRR, 2023

Private Matrix Factorization with Public Item Features.

Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Inflow, Outflow, and Reciprocity in Machine Learning.

Mukund Sundararajan, Walid Krichene

Proceedings of the International Conference on Machine Learning, 2023

Multi-Task Differential Privacy Under Distribution Skew.

Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang

Proceedings of the International Conference on Machine Learning, 2023

2022

Reciprocity in Machine Learning.

Mukund Sundararajan, Walid Krichene

CoRR, 2022

On sampled metrics for item recommendation.

Walid Krichene, Steffen Rendle

Commun. ACM, 2022

Revisiting the Performance of iALS on Item Recommendation Benchmarks.

Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

ALX: Large Scale Matrix Factorization on TPUs.

Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang

CoRR, 2021

iALS++: Speeding up Matrix Factorization with Subspace Optimization.

Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren

CoRR, 2021

On Sampled Metrics for Item Recommendation (Extended Abstract).

Walid Krichene, Steffen Rendle

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates.

Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Global Convergence of Second-order Dynamics in Two-layer Neural Networks.

Walid Krichene, Kenneth F. Caluya, Abhishek Halder

CoRR, 2020

Superbloom: Bloom filter meets Transformer.

John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang

CoRR, 2020

Neural Collaborative Filtering vs. Matrix Factorization Revisited.

Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Rankmax: An Adaptive Projection Alternative to the Softmax Function.

Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions.

Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess

CoRR, 2019

Scalable Realistic Recommendation Datasets through Fractal Expansions.

Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson

CoRR, 2019

Efficient Training on Very Large Corpora via Gramian Estimation.

Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Discrete-Time System Optimal Dynamic Traffic Assignment (SO-DTA) with Partial Control for Physical Queuing Networks.

Samitha Samaranayake, Walid Krichene, Jack Reilly, Maria Laura Delle Monache, Paola Goatin, Alexandre M. Bayen

Transp. Sci., 2018

On Learning How Players Learn: Estimation of Learning Dynamics in the Routing Game.

Walid Krichene, Mohamed Chedhli Bourguiba, Kiet Lam, Alexandre M. Bayen

ACM Trans. Cyber Phys. Syst., 2018

On Social Optimal Routing Under Selfish Learning.

Walid Krichene, Milena Suarez Castillo, Alexandre M. Bayen

IEEE Trans. Control. Netw. Syst., 2018

2017

Acceleration and Averaging in Stochastic Descent Dynamics.

Walid Krichene, Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Minimizing Regret on Reflexive Banach Spaces and Learning Nash Equilibria in Continuous Zero-Sum Games.

Maximilian Balandat, Walid Krichene, Claire J. Tomlin, Alexandre M. Bayen

CoRR, 2016

Adaptive Averaging in Accelerated Descent Dynamics.

Walid Krichene, Alexandre M. Bayen, Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games.

Maximilian Balandat, Walid Krichene, Claire J. Tomlin, Alexandre M. Bayen

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

On Learning How Players Learn: Estimation of Learning Dynamics in the Routing Game.

Kiet Lam, Walid Krichene, Alexandre M. Bayen

Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

2015

Online Learning of Nash Equilibria in Congestion Games.

Walid Krichene, Benjamin Drighès, Alexandre M. Bayen

SIAM J. Control. Optim., 2015

Adjoint-Based Optimization on a Network of Discretized Scalar Conservation Laws with Applications to Coordinated Ramp Metering.

Jack Reilly, Samitha Samaranayake, Maria Laura Delle Monache, Walid Krichene, Paola Goatin, Alexandre M. Bayen

J. Optim. Theory Appl., 2015

Dual Averaging on Compactly-Supported Distributions And Application to No-Regret Learning on a Continuum.

Walid Krichene

CoRR, 2015

Accelerated Mirror Descent in Continuous and Discrete Time.

Walid Krichene, Alexandre M. Bayen, Peter L. Bartlett

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

The Hedge Algorithm on a Continuum.

Walid Krichene, Maximilian Balandat, Claire J. Tomlin, Alexandre M. Bayen

Proceedings of the 32nd International Conference on Machine Learning, 2015

Convergence of mirror descent dynamics in the routing game.

Walid Krichene, Syrine Krichene, Alexandre M. Bayen

Proceedings of the 14th European Control Conference, 2015

Efficient Bregman projections onto the simplex.

Walid Krichene, Syrine Krichene, Alexandre M. Bayen

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Differential privacy of populations in routing games.

Roy Dong, Walid Krichene, Alexandre M. Bayen, S. Shankar Sastry

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Discrete-time system optimal dynamic traffic assignment (SO-DTA) with partial control for horizontal queuing networks.

Samitha Samaranayake, Jack Reilly, Walid Krichene, J. B. Lespiau, Maria Laura Delle Monache, Paola Goatin, Alexandre M. Bayen

Proceedings of the American Control Conference, 2015

Convergence of heterogeneous distributed learning in stochastic routing games.

Syrine Krichene, Walid Krichene, Roy Dong, Alexandre M. Bayen

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

Stackelberg Routing on Parallel Networks With Horizontal Queues.

Walid Krichene, Jack Reilly, Saurabh Amin, Alexandre M. Bayen

IEEE Trans. Autom. Control., 2014

A PDE-ODE Model for a Junction with Ramp Buffer.

Maria Laura Delle Monache, Jack Reilly, Samitha Samaranayake, Walid Krichene, Paola Goatin, Alexandre M. Bayen

SIAM J. Appl. Math., 2014

Learning Nash Equilibria in Congestion Games.

Walid Krichene, Benjamin Drighès, Alexandre M. Bayen

CoRR, 2014

On the convergence of no-regret learning in selfish routing.

Walid Krichene, Benjamin Drighès, Alexandre M. Bayen

Proceedings of the 31th International Conference on Machine Learning, 2014

Stability of Nash equilibria in the congestion game under Replicator dynamics.

Benjamin Drighès, Walid Krichene, Alexandre M. Bayen

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Arriving on time: estimating travel time distributions on large-scale road networks

Timothy Hunter, Aude Hofleitner, Jack Reilly, Walid Krichene, Jerome Thai, Anastasios Kouvelas, Pieter Abbeel, Alexandre M. Bayen

CoRR, 2013

A Necessary and Sufficient Condition for the Existence of Potential Functions for Heterogeneous Routing Games.

Farhad Farokhi, Walid Krichene, Alexandre M. Bayen, Karl Henrik Johansson

CoRR, 2013

Stackelberg thresholds on parallel networks with horizontal queues.

Yasser Jebbari, Walid Krichene, Jack Reilly, Alexandre M. Bayen

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

A heterogeneous routing game.

Farhad Farokhi, Walid Krichene, Alexandre M. Bayen, Karl Henrik Johansson

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012

On the characterization and computation of Nash equilibria on parallel networks with horizontal queues.

Walid Krichene, Jack Reilly, Saurabh Amin, Alexandre M. Bayen

Proceedings of the 51th IEEE Conference on Decision and Control, 2012