Walid Krichene

61 papers A* 8A 4C 1Journal 31Unranked 16

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	Private Learning with Public Features. AISTATS Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2024	—	`conf`	Training Differentially Private Ad Prediction Models With Semi-Sensitive Features. AdKDD@KDD Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Nicolas Mayoraz, Hema Venkata Krishna Giri Narra, Steffen Rendle, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang
2024	J	`jnl`	Training Differentially Private Ad Prediction Models with Semi-Sensitive Features. CoRR 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
2023	J	`jnl`	Differentially Private Image Classification from Features. Trans. Mach. Learn. Res. Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky
2023	A*	`conf`	Inflow, Outflow, and Reciprocity in Machine Learning. ICML Mukund Sundararajan, Walid Krichene
2023	A*	`conf`	Multi-Task Differential Privacy Under Distribution Skew. ICML Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Guha Thakurta, Li Zhang
2023	J	`jnl`	Multi-Task Differential Privacy Under Distribution Skew. CoRR Walid Krichene, Prateek Jain, Shuang Song, Mukund Sundararajan, Abhradeep Thakurta, Li Zhang
2023	J	`jnl`	Private Learning with Public Features. CoRR Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2023	A	`conf`	Private Matrix Factorization with Public Item Features. RecSys Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan
2023	J	`jnl`	Private Matrix Factorization with Public Item Features. CoRR Mihaela Curmei, Walid Krichene, Li Zhang, Mukund Sundararajan
2022	J	`jnl`	Differentially Private Image Classification from Features. CoRR Harsh Mehta, Walid Krichene, Abhradeep Thakurta, Alexey Kurakin, Ashok Cutkosky
2022	J	`jnl`	On sampled metrics for item recommendation. Commun. ACM Walid Krichene, Steffen Rendle
2022	J	`jnl`	Reciprocity in Machine Learning. CoRR Mukund Sundararajan, Walid Krichene
2022	A	`conf`	Revisiting the Performance of iALS on Item Recommendation Benchmarks. RecSys Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2021	J	`jnl`	ALX: Large Scale Matrix Factorization on TPUs. CoRR Harsh Mehta, Steffen Rendle, Walid Krichene, Li Zhang
2021	A*	`conf`	On Sampled Metrics for Item Recommendation (Extended Abstract). IJCAI Walid Krichene, Steffen Rendle
2021	A*	`conf`	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. ICML Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2021	J	`jnl`	Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. CoRR Steve Chien, Prateek Jain, Walid Krichene, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang
2021	J	`jnl`	Revisiting the Performance of iALS on Item Recommendation Benchmarks. CoRR Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2021	J	`jnl`	iALS++: Speeding up Matrix Factorization with Subspace Optimization. CoRR Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2020	J	`jnl`	Global Convergence of Second-order Dynamics in Two-layer Neural Networks. CoRR Walid Krichene, Kenneth F. Caluya, Abhishek Halder
2020	A	`conf`	Neural Collaborative Filtering vs. Matrix Factorization Revisited. RecSys Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	J	`jnl`	Neural Collaborative Filtering vs. Matrix Factorization Revisited. CoRR Steffen Rendle, Walid Krichene, Li Zhang, John R. Anderson
2020	A*	`conf`	On Sampled Metrics for Item Recommendation. KDD Walid Krichene, Steffen Rendle
2020	A*	`conf`	Rankmax: An Adaptive Projection Alternative to the Softmax Function. NeurIPS Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang
2020	J	`jnl`	Superbloom: Bloom filter meets Transformer. CoRR John R. Anderson, Qingqing Huang, Walid Krichene, Steffen Rendle, Li Zhang
2019	—	`conf`	Efficient Training on Very Large Corpora via Gramian Estimation. ICLR (Poster) Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2019	J	`jnl`	Scalable Realistic Recommendation Datasets through Fractal Expansions. CoRR Francois Belletti, Karthik Lakshmanan, Walid Krichene, Yi-Fan Chen, John R. Anderson
2019	J	`jnl`	Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions. CoRR Francois Belletti, Karthik Lakshmanan, Walid Krichene, Nicolas Mayoraz, Yi-Fan Chen, John R. Anderson, Taylor Robie, Tayo Oguntebi, Dan Shirron, Amit Bleiwess
2018	J	`jnl`	Discrete-Time System Optimal Dynamic Traffic Assignment (SO-DTA) with Partial Control for Physical Queuing Networks. Transp. Sci. Samitha Samaranayake, Walid Krichene, Jack Reilly, Maria Laura Delle Monache, Paola Goatin, Alexandre M. Bayen
2018	J	`jnl`	Efficient Training on Very Large Corpora via Gramian Estimation. CoRR Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed H. Chi, John R. Anderson
2018	J	`jnl`	On Learning How Players Learn: Estimation of Learning Dynamics in the Routing Game. ACM Trans. Cyber Phys. Syst. Walid Krichene, Mohamed Chedhli Bourguiba, Kiet Lam, Alexandre M. Bayen
2018	J	`jnl`	On Social Optimal Routing Under Selfish Learning. IEEE Trans. Control. Netw. Syst. Walid Krichene, Milena Suarez Castillo, Alexandre M. Bayen
2017	—	`conf`	Acceleration and Averaging in Stochastic Descent Dynamics. NIPS Walid Krichene, Peter L. Bartlett
2016	—	`conf`	Adaptive Averaging in Accelerated Descent Dynamics. NIPS Walid Krichene, Alexandre M. Bayen, Peter L. Bartlett
2016	—	`—`	Continuous and Discrete Dynamics For Online Learning and Convex Optimization Walid Krichene
2016	J	`jnl`	Differential Privacy of Populations in Routing Games. CoRR Roy Dong, Walid Krichene, Alexandre M. Bayen, S. Shankar Sastry
2016	J	`jnl`	Minimizing Regret on Reflexive Banach Spaces and Learning Nash Equilibria in Continuous Zero-Sum Games. CoRR Maximilian Balandat, Walid Krichene, Claire J. Tomlin, Alexandre M. Bayen
2016	—	`conf`	Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games. NIPS Maximilian Balandat, Walid Krichene, Claire J. Tomlin, Alexandre M. Bayen
2016	—	`conf`	On Learning How Players Learn: Estimation of Learning Dynamics in the Routing Game. ICCPS Kiet Lam, Walid Krichene, Alexandre M. Bayen
2015	—	`conf`	Accelerated Mirror Descent in Continuous and Discrete Time. NIPS Walid Krichene, Alexandre M. Bayen, Peter L. Bartlett
2015	J	`jnl`	Adjoint-Based Optimization on a Network of Discretized Scalar Conservation Laws with Applications to Coordinated Ramp Metering. J. Optim. Theory Appl. Jack Reilly, Samitha Samaranayake, Maria Laura Delle Monache, Walid Krichene, Paola Goatin, Alexandre M. Bayen
2015	—	`conf`	Convergence of heterogeneous distributed learning in stochastic routing games. Allerton Syrine Krichene, Walid Krichene, Roy Dong, Alexandre M. Bayen
2015	—	`conf`	Convergence of mirror descent dynamics in the routing game. ECC Walid Krichene, Syrine Krichene, Alexandre M. Bayen
2015	—	`conf`	Differential privacy of populations in routing games. CDC Roy Dong, Walid Krichene, Alexandre M. Bayen, S. Shankar Sastry
2015	C	`conf`	Discrete-time system optimal dynamic traffic assignment (SO-DTA) with partial control for horizontal queuing networks. ACC Samitha Samaranayake, Jack Reilly, Walid Krichene, J. B. Lespiau, Maria Laura Delle Monache, Paola Goatin, Alexandre M. Bayen
2015	J	`jnl`	Dual Averaging on Compactly-Supported Distributions And Application to No-Regret Learning on a Continuum. CoRR Walid Krichene
2015	—	`conf`	Efficient Bregman projections onto the simplex. CDC Walid Krichene, Syrine Krichene, Alexandre M. Bayen
2015	J	`jnl`	Online Learning of Nash Equilibria in Congestion Games. SIAM J. Control. Optim. Walid Krichene, Benjamin Drighès, Alexandre M. Bayen
2015	A*	`conf`	The Hedge Algorithm on a Continuum. ICML Walid Krichene, Maximilian Balandat, Claire J. Tomlin, Alexandre M. Bayen
2014	J	`jnl`	A PDE-ODE Model for a Junction with Ramp Buffer. SIAM J. Appl. Math. Maria Laura Delle Monache, Jack Reilly, Samitha Samaranayake, Walid Krichene, Paola Goatin, Alexandre M. Bayen
2014	J	`jnl`	Learning Nash Equilibria in Congestion Games. CoRR Walid Krichene, Benjamin Drighès, Alexandre M. Bayen
2014	A*	`conf`	On the convergence of no-regret learning in selfish routing. ICML Walid Krichene, Benjamin Drighès, Alexandre M. Bayen
2014	—	`conf`	Stability of Nash equilibria in the congestion game under Replicator dynamics. CDC Benjamin Drighès, Walid Krichene, Alexandre M. Bayen
2014	J	`jnl`	Stackelberg Routing on Parallel Networks With Horizontal Queues. IEEE Trans. Autom. Control. Walid Krichene, Jack Reilly, Saurabh Amin, Alexandre M. Bayen
2013	J	`jnl`	A Necessary and Sufficient Condition for the Existence of Potential Functions for Heterogeneous Routing Games. CoRR Farhad Farokhi, Walid Krichene, Alexandre M. Bayen, Karl Henrik Johansson
2013	—	`conf`	A heterogeneous routing game. Allerton Farhad Farokhi, Walid Krichene, Alexandre M. Bayen, Karl Henrik Johansson
2013	J	`jnl`	Arriving on time: estimating travel time distributions on large-scale road networks CoRR Timothy Hunter, Aude Hofleitner, Jack Reilly, Walid Krichene, Jerome Thai, Anastasios Kouvelas, Pieter Abbeel, Alexandre M. Bayen
2013	—	`conf`	Stackelberg thresholds on parallel networks with horizontal queues. CDC Yasser Jebbari, Walid Krichene, Jack Reilly, Alexandre M. Bayen
2012	—	`conf`	On Stackelberg routing on parallel networks with horizontal queues. CDC Walid Krichene, Jack Reilly, Saurabh Amin, Alexandre M. Bayen
2012	—	`conf`	On the characterization and computation of Nash equilibria on parallel networks with horizontal queues. CDC Walid Krichene, Jack Reilly, Saurabh Amin, Alexandre M. Bayen