Walid Krichene
13 papers · 2014–2024 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Optimization & Theory
(10)
Mathematics & Optimization
(7)
Optimization
(7)
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(4)
Artificial Intelligence
(3)
Data Science & Analytics
(3)
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Core AI
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(3)
Security & Privacy
(2)
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(2)
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(1)
Keywords
recommender system
(4)
differential privacy
(3)
mirror descent
(3)
online learning
(3)
accelerated gradient
(2)
regret minimization
(2)
convex optimization
(2)
first-order method
(2)
regret bound
(2)
convergence analysis
(2)
nash equilibrium
(2)
dual averaging
(2)
replicator dynamics
(2)
hedge algorithm
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game theory
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continuous optimization
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sample complexity
(1)
adversarial learning
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machine learning
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global convergence
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Papers
Private Learning with Public Features
AISTATS 2024
Inflow, Outflow, and Reciprocity in Machine Learning
ICML 2023
Multi-Task Differential Privacy Under Distribution Skew
ICML 2023
On Sampled Metrics for Item Recommendation (Extended Abstract)
IJCAI 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
ICML 2021
Rankmax: An Adaptive Projection Alternative to the Softmax Function
NeurIPS 2020
Efficient Training on Very Large Corpora via Gramian Estimation
ICLR 2019
Acceleration and Averaging in Stochastic Descent Dynamics
NeurIPS 2017
Adaptive Averaging in Accelerated Descent Dynamics
NeurIPS 2016
Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games
NeurIPS 2016
Accelerated Mirror Descent in Continuous and Discrete Time
NeurIPS 2015
The Hedge Algorithm on a Continuum
ICML 2015
On the convergence of no-regret learning in selfish routing
ICML 2014