Alberto Bernacchia

39 papers A* 14A 2B 2Journal 21

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds. ICML Aya Kayal, Sattar Vakili, Laura Toni, Da-Shan Shiu, Alberto Bernacchia
2025	J	`jnl`	Bayesian Optimization from Human Feedback: Near-Optimal Regret Bounds. CoRR Aya Kayal, Sattar Vakili, Laura Toni, Da-Shan Shiu, Alberto Bernacchia
2025	A*	`conf`	Global curvature for second-order optimization of neural networks. ICML Alberto Bernacchia
2025	J	`jnl`	Near-Optimal Sample Complexity in Reward-Free Kernel-Based Reinforcement Learning. CoRR Aya Kayal, Sattar Vakili, Laura Toni, Alberto Bernacchia
2025	A	`conf`	Near-Optimal Sample Complexity in Reward-Free Kernel-based Reinforcement Learning. AISTATS Aya Kayal, Sattar Vakili, Laura Toni, Alberto Bernacchia
2025	J	`jnl`	Reinforcement Learning Using known Invariances. CoRR Alexandru Cioba, Aya Kayal, Laura Toni, Sattar Vakili, Alberto Bernacchia
2024	J	`jnl`	Efficient Model Compression Techniques with FishLeg. CoRR Jamie McGowan, Wei Sheng Lai, Weibin Chen, Henry Aldridge, Jools Clarke, Jezabel Garcia, Rui Xia, Yilei Liang, Guillaume Hennequin, Alberto Bernacchia
2024	A*	`conf`	Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization. NeurIPS Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-Shan Shiu, Guillaume Hennequin, Alberto Bernacchia
2024	J	`jnl`	Exact, Tractable Gauss-Newton Optimization in Deep Reversible Architectures Reveal Poor Generalization. CoRR Davide Buffelli, Jamie McGowan, Wangkun Xu, Alexandru Cioba, Da-Shan Shiu, Guillaume Hennequin, Alberto Bernacchia
2024	A*	`conf`	Reward-Free Kernel-Based Reinforcement Learning. ICML Sattar Vakili, Farhang Nabiei, Da-Shan Shiu, Alberto Bernacchia
2023	A*	`conf`	Delayed Feedback in Kernel Bandits. ICML Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
2023	J	`jnl`	Delayed Feedback in Kernel Bandits. CoRR Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
2023	A*	`conf`	Fisher-Legendre (FishLeg) optimization of deep neural networks. ICLR Jezabel R. Garcia, Federica Freddi, Stathi Fotiadis, Maolin Li, Sattar Vakili, Alberto Bernacchia, Guillaume Hennequin
2023	B	`conf`	Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. GLOBECOM Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-Shan Shiu
2023	J	`jnl`	Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. CoRR Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-Shan Shiu
2023	A*	`conf`	Image generation with shortest path diffusion. ICML Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Fengting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia
2023	J	`jnl`	Image generation with shortest path diffusion. CoRR Ayan Das, Stathi Fotiadis, Anil Batra, Farhang Nabiei, Feng-Ting Liao, Sattar Vakili, Da-Shan Shiu, Alberto Bernacchia
2023	B	`conf`	Information Gain and Uniform Generalization Bounds for Neural Kernel Models. ISIT Sattar Vakili, Michael Bromberg, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia
2023	A	`conf`	Sample Complexity of Kernel-Based Q-Learning. AISTATS Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
2023	J	`jnl`	Sample Complexity of Kernel-Based Q-Learning. CoRR Sing-Yuan Yeh, Fu-Chieh Chang, Chang-Wei Yueh, Pei-Yuan Wu, Alberto Bernacchia, Sattar Vakili
2023	J	`jnl`	Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
2022	A*	`conf`	How to Distribute Data across Tasks for Meta-Learning? AAAI Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Jezabel R. Garcia, Da-Shan Shiu, Alberto Bernacchia
2022	A*	`conf`	Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. ICML Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia
2022	J	`jnl`	Improved Convergence Rates for Sparse Approximation Methods in Kernel-Based Learning. CoRR Sattar Vakili, Jonathan Scarlett, Da-Shan Shiu, Alberto Bernacchia
2021	J	`jnl`	How to distribute data across tasks for meta-learning? CoRR Alexandru Cioba, Michael Bromberg, Qian Wang, Ritwik Niyogi, Georgios Batzolis, Da-Shan Shiu, Alberto Bernacchia
2021	J	`jnl`	Meta-Learning with MAML on Trees. CoRR Jezabel R. Garcia, Federica Freddi, Feng-Ting Liao, Jamie McGowan, Tim Nieradzik, Da-Shan Shiu, Ye Tian, Alberto Bernacchia
2021	A*	`conf`	Meta-learning with negative learning rates. ICLR Alberto Bernacchia
2021	J	`jnl`	Meta-learning with negative learning rates. CoRR Alberto Bernacchia
2021	A*	`conf`	Natural continual learning: success is a journey, not (just) a destination. NeurIPS Ta-Chu Kao, Kristopher T. Jensen, Gido van de Ven, Alberto Bernacchia, Guillaume Hennequin
2021	J	`jnl`	Natural continual learning: success is a journey, not (just) a destination. CoRR Ta-Chu Kao, Kristopher T. Jensen, Alberto Bernacchia, Guillaume Hennequin
2021	A*	`conf`	Optimal Order Simple Regret for Gaussian Process Bandits. NeurIPS Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu
2021	J	`jnl`	Optimal Order Simple Regret for Gaussian Process Bandits. CoRR Sattar Vakili, Nacime Bouziani, Sepehr Jalali, Alberto Bernacchia, Da-Shan Shiu
2021	J	`jnl`	Uniform Generalization Bounds for Overparameterized Neural Networks. CoRR Sattar Vakili, Michael Bromberg, Da-Shan Shiu, Alberto Bernacchia
2020	J	`jnl`	Cyclic orthogonal convolutions for long-range integration of features. CoRR Federica Freddi, Jezabel R. Garcia, Michael Bromberg, Sepehr Jalali, Da-Shan Shiu, Alvin Chua, Alberto Bernacchia
2020	A*	`conf`	Non-reversible Gaussian processes for identifying latent dynamical structure in neural data. NeurIPS Virginia Rutten, Alberto Bernacchia, Maneesh Sahani, Guillaume Hennequin
2018	A*	`conf`	Exact natural gradient in deep linear networks and its application to the nonlinear case. NeurIPS Alberto Bernacchia, Máté Lengyel, Guillaume Hennequin
2013	J	`jnl`	Decorrelation by Recurrent Inhibition in Heterogeneous Neural Circuits. Neural Comput. Alberto Bernacchia, Xiao-Jing Wang
2012	J	`jnl`	On the equivalence of Hopfield networks and Boltzmann Machines. Neural Networks Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci
2011	J	`jnl`	On the equivalence of Hopfield Networks and Restricted Boltzmann Machines CoRR Adriano Barra, Alberto Bernacchia, Enrica Santucci, Pierluigi Contucci