Mónica Ribero

23 papers A* 4Misc 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Regularized f-Divergence Kernel Tests. CoRR Mónica Ribero, Antonin Schrab, Arthur Gretton
2025	A*	`conf`	Differentially private optimization for non-decomposable objective functions. ICLR Weiwei Kong, Andrés Muñoz Medina, Mónica Ribero
2025	J	`jnl`	Federated Learning at Scale: Addressing Client Intermittency and Resource Constraints. IEEE J. Sel. Top. Signal Process. Mónica Ribero, Haris Vikalo, Gustavo de Veciana
2025	A*	`conf`	Privately Counting Partially Ordered Data. ICLR Matthew Joseph, Mónica Ribero, Alexander Yu
2025	J	`jnl`	Sequentially Auditing Differential Privacy. CoRR Tomás González, Mateo Dulce-Rubio, Aaditya Ramdas, Mónica Ribero
2024	A*	`conf`	DP-Auditorium: A Large-Scale Library for Auditing Differential Privacy. SP William Kong, Andrés Muñoz Medina, Mónica Ribero, Umar Syed
2024	J	`jnl`	Privacy of the last iterate in cyclically-sampled DP-SGD on nonconvex composite losses. CoRR Weiwei Kong, Mónica Ribero
2024	J	`jnl`	Privately Counting Partially Ordered Data. CoRR Matthew Joseph, Mónica Ribero, Alexander Yu
2024	J	`jnl`	Reducing communication in federated learning via efficient client sampling. Pattern Recognit. Mónica Ribero, Haris Vikalo
2023	J	`jnl`	DP-SGD for non-decomposable objective functions. CoRR William Kong, Andrés Muñoz Medina, Mónica Ribero
2023	A*	`conf`	Easy Differentially Private Linear Regression. ICLR Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii
2023	J	`jnl`	Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints. IEEE J. Sel. Top. Signal Process. Mónica Ribero, Haris Vikalo, Gustavo de Veciana
2023	J	`jnl`	RényiTester: A Variational Approach to Testing Differential Privacy. CoRR William Kong, Andrés Muñoz Medina, Mónica Ribero
2022	J	`jnl`	A Joint Exponential Mechanism For Differentially Private Top-k. CoRR Jennifer Gillenwater, Matthew Joseph, Andrés Muñoz Medina, Mónica Ribero
2022	J	`jnl`	Easy Differentially Private Linear Regression. CoRR Kareem Amin, Matthew Joseph, Mónica Ribero, Sergei Vassilvitskii
2022	J	`jnl`	Federated Learning Under Intermittent Client Availability and Time-Varying Communication Constraints. CoRR Mónica Ribero, Haris Vikalo, Gustavo de Veciana
2022	J	`jnl`	Federating recommendations using differentially private prototypes. Pattern Recognit. Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
2020	J	`jnl`	Communication-Efficient Federated Learning via Optimal Client Sampling. CoRR Mónica Ribero, Haris Vikalo
2020	J	`jnl`	Dimension Independence in Unconstrained Private ERM via Adaptive Preconditioning. CoRR Peter Kairouz, Mónica Ribero, Keith Rush, Abhradeep Thakurta
2020	J	`jnl`	Federating Recommendations Using Differentially Private Prototypes. CoRR Mónica Ribero, Jette Henderson, Sinead Williamson, Haris Vikalo
2019	Misc	`conf`	Deep Learning Propagation Models over Irregular Terrain. ICASSP Mónica Ribero, Robert W. Heath Jr., Haris Vikalo, Dmitry Chizhik, Reinaldo A. Valenzuela
2019	J	`jnl`	MmWave Vehicular Beam Selection With Situational Awareness Using Machine Learning. IEEE Access Yuyang Wang, Aldebaro Klautau, Mónica Ribero, Anthony C. K. Soong, Robert W. Heath Jr.
2018	—	`conf`	MmWave Vehicular Beam Training with Situational Awareness by Machine Learning. GLOBECOM Workshops Yuyang Wang, Aldebaro Klautau, Mónica Ribero, Murali Narasimha, Robert W. Heath Jr.