On the characterization and computation of Nash equilibria on parallel networks with horizontal queues. - Walid Krichene; Jack Reilly; Saurabh Amin; Alexandre M. Bayen (CDC, 2012)

A heterogeneous routing game. - Farhad Farokhi; Walid Krichene; Alexandre M. Bayen; Karl Henrik Johansson (Allerton, 2013)

Stackelberg thresholds on parallel networks with horizontal queues. - Yasser Jebbari; Walid Krichene; Jack Reilly; Alexandre M. Bayen (CDC, 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)

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)

Stability of Nash equilibria in the congestion game under Replicator dynamics. - Benjamin Drighès; Walid Krichene; Alexandre M. Bayen (CDC, 2014)

On the convergence of no-regret learning in selfish routing. - Walid Krichene; Benjamin Drighès; Alexandre M. Bayen (ICML, 2014)

Learning Nash Equilibria in Congestion Games. - Walid Krichene; Benjamin Drighès; Alexandre M. Bayen (CoRR, 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)

Stackelberg Routing on Parallel Networks With Horizontal Queues. - Walid Krichene; Jack Reilly; Saurabh Amin; Alexandre M. Bayen (IEEE Trans. Autom. Control., 2014)

Convergence of heterogeneous distributed learning in stochastic routing games. - Syrine Krichene; Walid Krichene; Roy Dong; Alexandre M. Bayen (Allerton, 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 (ACC, 2015)

Differential privacy of populations in routing games. - Roy Dong; Walid Krichene; Alexandre M. Bayen; S. Shankar Sastry (CDC, 2015)

Efficient Bregman projections onto the simplex. - Walid Krichene; Syrine Krichene; Alexandre M. Bayen (CDC, 2015)

Convergence of mirror descent dynamics in the routing game. - Walid Krichene; Syrine Krichene; Alexandre M. Bayen (ECC, 2015)

The Hedge Algorithm on a Continuum. - Walid Krichene; Maximilian Balandat; Claire J. Tomlin; Alexandre M. Bayen (ICML, 2015)

Accelerated Mirror Descent in Continuous and Discrete Time. - Walid Krichene; Alexandre M. Bayen; Peter L. Bartlett (NIPS, 2015)

Dual Averaging on Compactly-Supported Distributions And Application to No-Regret Learning on a Continuum. - Walid Krichene (CoRR, 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)

Online Learning of Nash Equilibria in Congestion Games. - Walid Krichene; Benjamin Drighès; Alexandre M. Bayen (SIAM J. Control. Optim., 2015)

On Learning How Players Learn: Estimation of Learning Dynamics in the Routing Game. - Kiet Lam; Walid Krichene; Alexandre M. Bayen (ICCPS, 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 (NIPS, 2016)

Adaptive Averaging in Accelerated Descent Dynamics. - Walid Krichene; Alexandre M. Bayen; Peter L. Bartlett (NIPS, 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)

Continuous and Discrete Dynamics For Online Learning and Convex Optimization - Walid Krichene (2016)

Acceleration and Averaging in Stochastic Descent Dynamics. - Walid Krichene; Peter L. Bartlett (NIPS, 2017)

On Social Optimal Routing Under Selfish Learning. - Walid Krichene; Milena Suarez Castillo; Alexandre M. Bayen (IEEE Trans. Control. Netw. Syst., 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)

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)

Efficient Training on Very Large Corpora via Gramian Estimation. - Walid Krichene; Nicolas Mayoraz; Steffen Rendle; Li Zhang 001; Xinyang Yi; Lichan Hong; Ed H. Chi; John R. Anderson (ICLR (Poster), 2019)

Scalable Realistic Recommendation Datasets through Fractal Expansions. - Francois Belletti; Karthik Lakshmanan; Walid Krichene; Yi-Fan Chen; John R. Anderson (CoRR, 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)

Rankmax: An Adaptive Projection Alternative to the Softmax Function. - Weiwei Kong; Walid Krichene; Nicolas Mayoraz; Steffen Rendle; Li Zhang 001 (NeurIPS, 2020)

Neural Collaborative Filtering vs. Matrix Factorization Revisited. - Steffen Rendle; Walid Krichene; Li Zhang 001; John R. Anderson (RecSys, 2020)

Superbloom: Bloom filter meets Transformer. - John R. Anderson; Qingqing Huang; Walid Krichene; Steffen Rendle; Li Zhang 001 (CoRR, 2020)

Global Convergence of Second-order Dynamics in Two-layer Neural Networks. - Walid Krichene; Kenneth F. Caluya; Abhishek Halder (CoRR, 2020)

Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates. - Steve Chien; Prateek Jain 002; Walid Krichene; Steffen Rendle; Shuang Song 001; Abhradeep Thakurta; Li Zhang 001 (ICML, 2021)

On Sampled Metrics for Item Recommendation (Extended Abstract). - Walid Krichene; Steffen Rendle (IJCAI, 2021)

iALS++: Speeding up Matrix Factorization with Subspace Optimization. - Steffen Rendle; Walid Krichene; Li Zhang 001; Yehuda Koren (CoRR, 2021)

ALX: Large Scale Matrix Factorization on TPUs. - Harsh Mehta; Steffen Rendle; Walid Krichene; Li Zhang 001 (CoRR, 2021)

Revisiting the Performance of iALS on Item Recommendation Benchmarks. - Steffen Rendle; Walid Krichene; Li Zhang 001; Yehuda Koren (RecSys, 2022)

On sampled metrics for item recommendation. - Walid Krichene; Steffen Rendle (Commun. ACM, 2022)

Reciprocity in Machine Learning. - Mukund Sundararajan; Walid Krichene (CoRR, 2022)

Multi-Task Differential Privacy Under Distribution Skew. - Walid Krichene; Prateek Jain 002; Shuang Song 001; Mukund Sundararajan; Abhradeep Guha Thakurta; Li Zhang 001 (ICML, 2023)

Inflow, Outflow, and Reciprocity in Machine Learning. - Mukund Sundararajan; Walid Krichene (ICML, 2023)

Private Matrix Factorization with Public Item Features. - Mihaela Curmei; Walid Krichene; Li Zhang 001; Mukund Sundararajan (RecSys, 2023)

Differentially Private Image Classification from Features. - Harsh Mehta; Walid Krichene; Abhradeep Guha Thakurta; Alexey Kurakin; Ashok Cutkosky (Trans. Mach. Learn. Res., 2023)

Training Differentially Private Ad Prediction Models With Semi-Sensitive Features. - Lynn Chua; Qiliang Cui; Badih Ghazi; Charlie Harrison; Pritish Kamath; Walid Krichene; Ravi Kumar 001; Pasin Manurangsi; Nicolas Mayoraz; Hema Venkata Krishna Giri Narra; Steffen Rendle; Amer Sinha; et al. (AdKDD@KDD, 2024)

Private Learning with Public Features. - Walid Krichene; Nicolas Mayoraz; Steffen Rendle; Shuang Song 001; Abhradeep Thakurta; Li Zhang 001 (AISTATS, 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 001; Pasin Manurangsi; Krishna Giri Narra; Amer Sinha; Avinash V. Varadarajan; Chiyuan Zhang (CoRR, 2024)