Alberto Bernacchia
18 papers · 2018–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (7) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🐝 Cross-Pollinator (14)
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Cross-Pollinator
(14)
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(7)
🏆
Grand Slam
🗃️
Keyword Collector
(68)
⚡
Prolific Year
(5)
💎
Century Club
(18)
🔥
Unstoppable
(6)
❓
The Questioner
Conferences
ICML (6)
NIPS (5)
AISTATS (2)
EACL (2)
ICLR (2)
AAAI (1)
Top co-authors
Keywords
gaussian process
(3)
kernel methods
(3)
second-order optimization
(2)
kernel ridge regression
(2)
bayesian optimization
(2)
mixed linear regression
(1)
feature learning
(1)
reinforcement learning
(1)
bayesian regularization
(1)
variational inference
(1)
function approximation
(1)
gradient-based optimization
(1)
sequential decision making
(1)
natural language inference
(1)
catastrophic forgetting
(1)
sample complexity
(1)
information retrieval
(1)
image generation
(1)
markov decision process
(1)
question answering
(1)
Papers
Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning
AISTATS 2025
Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds
ICML 2025
Global curvature for second-order optimization of neural networks
ICML 2025
Reward-Free Kernel-Based Reinforcement Learning
ICML 2024
Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization
NIPS 2024
Hierarchical Representations in Dense Passage Retrieval for Question-Answering
EACL 2023
Sample Complexity of Kernel-Based Q-Learning
AISTATS 2023
Fisher-Legendre (FishLeg) optimization of deep neural networks
ICLR 2023
Image generation with shortest path diffusion
ICML 2023
Delayed Feedback in Kernel Bandits
ICML 2023
Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning
ICML 2022
How to Distribute Data across Tasks for Meta-Learning?
AAAI 2022
Cross-Lingual Transfer with MAML on Trees
EACL 2021
Natural continual learning: success is a journey, not (just) a destination
NIPS 2021
Optimal Order Simple Regret for Gaussian Process Bandits
NIPS 2021
Meta-learning with negative learning rates
ICLR 2021
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
NIPS 2020
Exact natural gradient in deep linear networks and its application to the nonlinear case
NIPS 2018