El Houcine Bergou
8 papers · 2020–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Academic Marathon · Sprint
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(24)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory · Machine Learning
(8)
Mathematics & Optimization
(3)
Learning Types
(3)
Optimization
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Optimization & Theory · Deep Learning
(2)
Computer Science
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Architectures
(1)
Methods
(1)
Systems
(1)
Keywords
continuous control
(3)
derivative-free optimization
(3)
stochastic optimization
(2)
neural network optimization
(2)
convergence analysis
(2)
importance sampling
(2)
policy gradient
(1)
non-convex optimization
(1)
stochastic gradient
(1)
distributed learning
(1)
sample complexity
(1)
adversarial robustness
(1)
convergence rate
(1)
high-dimensional control
(1)
distributed training
(1)
variance reduction
(1)
gradient aggregation
(1)
stochastic gradient descent
(1)
weight initialization
(1)
model compression
(1)
Papers
Just Few States Are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems
AAAI 2026
Stabilizing Policy Gradient Methods via Reward Profiling
AAAI 2026
If You Want to Be Robust, Be Wary of Initialization
NeurIPS 2024
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
AAAI 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion
IJCAI 2024
A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control
AAAI 2020
A Stochastic Derivative Free Optimization Method with Momentum
ICLR 2020
On the Discrepancy between the Theoretical Analysis and Practical Implementations of Compressed Communication for Distributed Deep Learning
AAAI 2020