Alberto Bernacchia
18 papers · 2018–2025 · 6 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
Jump to papers ↓+8 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (36) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Grand Slam
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Century Club Β· Bronze
π
Renaissance Researcher
(5)
ποΈ
Keyword Collector
(87)
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(13)
Artificial Intelligence
(7)
Core Methods
(6)
Deep Learning
(5)
Mathematics & Optimization
(4)
Bayesian & Probabilistic Β· Machine Learning
(4)
Learning Types
(4)
Optimization
(4)
Core AI
(3)
Learning Paradigms
(3)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Interdisciplinary
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
second-order optimization
(4)
kernel methods
(3)
bayesian optimization
(3)
gradient descent
(3)
gaussian process
(3)
sample complexity
(3)
kernel ridge regression
(3)
function approximation
(2)
neural tangent kernel
(2)
information gain
(2)
regret bound
(2)
confidence interval
(2)
natural gradient
(2)
reinforcement learning
(2)
gradient-based optimization
(1)
feature learning
(1)
bayesian regularization
(1)
convex optimization
(1)
catastrophic forgetting
(1)
variational inference
(1)
Papers
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
ICML 2025
Global curvature for second-order optimization of neural networks
ICML 2025
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
AISTATS 2025
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
NeurIPS 2024
Reward-Free Kernel-Based Reinforcement Learning
ICML 2024
Delayed Feedback in Kernel Bandits
ICML 2023
Fisher-Legendre (FishLeg) optimization of deep neural networks
ICLR 2023
Hierarchical Representations in Dense Passage Retrieval for Question-Answering
EACL 2023
Image generation with shortest path diffusion
ICML 2023
Sample Complexity of Kernel-Based Q-Learning
AISTATS 2023
How to Distribute Data across Tasks for Meta-Learning?
AAAI 2022
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
ICML 2022
Cross-Lingual Transfer with MAML on Trees
EACL 2021
Meta-learning with negative learning rates
ICLR 2021
Natural continual learning: success is a journey, not (just) a destination
NeurIPS 2021
Optimal Order Simple Regret for Gaussian Process Bandits
NeurIPS 2021
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
NeurIPS 2020
Exact natural gradient in deep linear networks and its application to the nonlinear case
NeurIPS 2018