Krichene, Walid

14 publications

AISTATS 2024 Private Learning with Public Features Walid Krichene, Nicolas E Mayoraz, Steffen Rendle, Shuang Song, Abhradeep Thakurta, Li Zhang

TMLR 2023 Differentially Private Image Classification from Features Harsh Mehta, Walid Krichene, Abhradeep Guha Thakurta, Alexey Kurakin, Ashok Cutkosky

ICML 2023 Inflow, Outflow, and Reciprocity in Machine Learning Mukund Sundararajan, Walid Krichene

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

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

ICML 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

NeurIPS 2020 Rankmax: An Adaptive Projection Alternative to the SoftMax Function Weiwei Kong, Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang

ICLR 2019 Efficient Training on Very Large Corpora via Gramian Estimation Walid Krichene, Nicolas Mayoraz, Steffen Rendle, Li Zhang, Xinyang Yi, Lichan Hong, Ed Chi, John Anderson

NeurIPS 2017 Acceleration and Averaging in Stochastic Descent Dynamics Walid Krichene, Peter L Bartlett

NeurIPS 2016 Adaptive Averaging in Accelerated Descent Dynamics Walid Krichene, Alexandre Bayen, Peter L Bartlett

NeurIPS 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games Maximilian Balandat, Walid Krichene, Claire Tomlin, Alexandre Bayen

NeurIPS 2015 Accelerated Mirror Descent in Continuous and Discrete Time Walid Krichene, Alexandre Bayen, Peter L Bartlett

ICML 2015 The Hedge Algorithm on a Continuum Walid Krichene, Maximilian Balandat, Claire Tomlin, Alexandre Bayen

ICML 2014 On the Convergence of No-Regret Learning in Selfish Routing Walid Krichene, Benjamin Drighès, Alexandre Bayen