Articles by Daniele Calandriello

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Daniele Calandriello

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Building Math Agents with Multi-Turn Iterative Preference Learning

27 February 2025 by Wei Xiong and others

Machine Learning

On Teacher Hacking in Language Model Distillation

4 February 2025 by Daniil Tiapkin and others

Machine Learning, Artificial Intelligence

Multi-turn Reinforcement Learning from Preference Human Feedback

2 December 2024 by Lior Shani and others

Machine Learning

Nash Learning from Human Feedback

11 June 2024 by Rémi Munos and others at

Inria Rocquencourt

Machine Learning, Artificial Intelligence

Demonstration-Regularized RL

10 June 2024 by Daniil Tiapkin and others

Machine Learning

Offline Regularised Reinforcement Learning for Large Language Models Alignment

29 May 2024 by Pierre Harvey Richemond and others at

Google

Machine Learning, Artificial Intelligence

Generalized Preference Optimization: A Unified Approach to Offline Alignment

28 May 2024 by Yunhao Tang and others

Machine Learning, Artificial Intelligence

Decoding-time Realignment of Language Models

24 May 2024 by Tianlin Liu and others

Machine Learning, Artificial Intelligence

Understanding the performance gap between online and offline alignment algorithms

14 May 2024 by Yunhao Tang and others

Machine Learning, Artificial Intelligence

Human Alignment of Large Language Models through Online Preference Optimisation

13 March 2024 by Daniele Calandriello and others

Machine Learning, Artificial Intelligence

A General Theoretical Paradigm to Understand Learning from Human Preferences

22 November 2023 by Mohammad Gheshlaghi Azar and others at

Google

Artificial Intelligence, Machine Learning

Model-free Posterior Sampling via Learning Rate Randomization

27 October 2023 by Daniil Tiapkin and others

Machine Learning

Fast Rates for Maximum Entropy Exploration

6 June 2023 by Daniil Tiapkin and others

Machine Learning

Unlocking the Power of Representations in Long-term Novelty-based Exploration

2 May 2023 by Alaa Saade and others

Machine Learning

Understanding Self-Predictive Learning for Reinforcement Learning

6 December 2022 by Yunhao Tang and others

Machine Learning, Artificial Intelligence

ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions

17 October 2022 by Luigi Carratino and others at

University of Genoa

Machine Learning

Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees

28 September 2022 by Daniil Tiapkin and others

Machine Learning

BYOL-Explore: Exploration by Bootstrapped Prediction

16 June 2022 by Zhaohan Daniel Guo and others

Machine Learning, Artificial Intelligence

Information-theoretic Online Memory Selection for Continual Learning

10 April 2022 by Shengyang Sun and others

Machine Learning

Scaling Gaussian Process Optimization by Evaluating a Few Unique Candidates Multiple Times

30 January 2022 by Daniele Calandriello and others

Machine Learning

On the Emergence of Whole-body Strategies from Humanoid Robot Push-recovery Learning

29 April 2021 by Diego Ferigo and others

Robotics, Machine Learning

Sampling from a k-DPP without looking at all items

30 June 2020 by Daniele Calandriello and others

Machine Learning, Data Structures and Algorithms

Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

26 February 2020 by Daniele Calandriello and others

Machine Learning

Gaussian Process Optimization with Adaptive Sketching: Scalable and No Regret

27 August 2019 by Daniele Calandriello and others

Machine Learning

Statistical and Computational Trade-Offs in Kernel K-Means

27 August 2019 by Daniele Calandriello and Lorenzo Rosasco

Machine Learning, Data Structures and Algorithms

Exact sampling of determinantal point processes with sublinear time preprocessing

8 July 2019 by Michał Dereziński and others

Machine Learning

On Fast Leverage Score Sampling and Optimal Learning

24 January 2019 by Alessandro Rudi and others

Machine Learning, Data Structures and Algorithms

Distributed Adaptive Sampling for Kernel Matrix Approximation

27 March 2018 by Daniele Calandriello and others

Machine Learning, Data Structures and Algorithms

Second-Order Kernel Online Convex Optimization with Adaptive Sketching

15 June 2017 by Daniele Calandriello and others

Machine Learning

Analysis of Kelner and Levin graph sparsification algorithm for a streaming setting

13 September 2016 by Daniele Calandriello and others

Machine Learning, Data Structures and Algorithms

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Machine Learning Artificial Intelligence Data Structures and Algorithms Computer Science and Game Theory Multiagent Systems Computation and Language Robotics