| On sampled metrics for item recommendation W Krichene, S Rendle Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020 | 494 | 2020 |
| Neural collaborative filtering vs. matrix factorization revisited S Rendle, W Krichene, L Zhang, J Anderson Proceedings of the 14th ACM Conference on Recommender Systems, 240-248, 2020 | 467 | 2020 |
| Accelerated mirror descent in continuous and discrete time W Krichene, A Bayen, PL Bartlett Advances in neural information processing systems 28, 2015 | 286 | 2015 |
| Online learning of nash equilibria in congestion games W Krichene, B Drighès, AM Bayen SIAM Journal on Control and Optimization 53 (2), 1056-1081, 2015 | 75 | 2015 |
| Adjoint-based optimization on a network of discretized scalar conservation laws with applications to coordinated ramp metering J Reilly, S Samaranayake, ML Delle Monache, W Krichene, P Goatin, ... Journal of optimization theory and applications 167, 733-760, 2015 | 62 | 2015 |
| Efficient training on very large corpora via gramian estimation W Krichene, N Mayoraz, S Rendle, L Zhang, X Yi, L Hong, E Chi, ... ICLR, 2019 | 49 | 2019 |
| Stackelberg routing on parallel networks with horizontal queues W Krichene, JD Reilly, S Amin, AM Bayen IEEE Transactions on Automatic Control 59 (3), 714-727, 2014 | 45 | 2014 |
| Revisiting the performance of ials on item recommendation benchmarks S Rendle, W Krichene, L Zhang, Y Koren Proceedings of the 16th ACM Conference on Recommender Systems, 427-435, 2022 | 44 | 2022 |
| A PDE-ODE model for a junction with ramp buffer ML Delle Monache, J Reilly, S Samaranayake, W Krichene, P Goatin, ... SIAM Journal on Applied Mathematics 74 (1), 22-39, 2014 | 42 | 2014 |
| Arriving on time: estimating travel time distributions on large-scale road networks T Hunter, A Hofleitner, J Reilly, W Krichene, J Thai, A Kouvelas, P Abbeel, ... arXiv preprint arXiv:1302.6617, 2013 | 42 | 2013 |
| On the convergence of no-regret learning in selfish routing W Krichene, B Drighes, A Bayen International Conference on Machine Learning, 163-171, 2014 | 41 | 2014 |
| Discrete-time system optimal dynamic traffic assignment (SO-DTA) with partial control for physical queuing networks S Samaranayake, W Krichene, J Reilly, MLD Monache, P Goatin, A Bayen Transportation Science 52 (4), 982-1001, 2018 | 39 | 2018 |
| On learning how players learn: estimation of learning dynamics in the routing game K Lam, W Krichene, A Bayen 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016 | 38* | 2016 |
| The hedge algorithm on a continuum W Krichene, M Balandat, C Tomlin, A Bayen International Conference on Machine Learning, 824-832, 2015 | 38 | 2015 |
| Efficient bregman projections onto the simplex W Krichene, S Krichene, A Bayen 2015 54th IEEE Conference on Decision and Control (CDC), 3291-3298, 2015 | 36 | 2015 |
| Acceleration and averaging in stochastic descent dynamics W Krichene, PL Bartlett Advances in Neural Information Processing Systems 30, 2017 | 33* | 2017 |
| Differential privacy of populations in routing games R Dong, W Krichene, AM Bayen, SS Sastry 2015 54th IEEE Conference on Decision and Control (CDC), 2798-2803, 2015 | 30 | 2015 |
| Scaling up collaborative filtering data sets through randomized fractal expansions F Belletti, K Lakshmanan, W Krichene, N Mayoraz, YF Chen, J Anderson, ... arXiv preprint arXiv:1905.09874, 2019 | 29* | 2019 |
| Convergence of heterogeneous distributed learning in stochastic routing games S Krichene, W Krichene, R Dong, A Bayen 2015 53rd Annual Allerton Conference on Communication, Control, and …, 2015 | 25 | 2015 |
| Private alternating least squares: Practical private matrix completion with tighter rates S Chien, P Jain, W Krichene, S Rendle, S Song, A Thakurta, L Zhang International Conference on Machine Learning, 1877-1887, 2021 | 22 | 2021 |
Alexandre BayenProfessor Electrical Engineering and Computer Science, UC BerkeleyVahvistettu sähköpostiosoite verkkotunnuksessa berkeley.edu
