Borja Balle - RankMe

133 papers A* 31A 10B 2Journal 76Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	JAX-Privacy: A library for differentially private machine learning. CoRR Ryan McKenna, Galen Andrew, Borja Balle, Vadym Doroshenko, Arun Ganesh, Weiwei Kong, Alex Kurakin, Brendan McMahan, Mikhail Pravilov
2025	J	`jnl`	(ϵ, δ) Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees. CoRR Juan Felipe Gómez, Bogdan Kulynych, Georgios Kaissis, Jamie Hayes, Borja Balle, Antti Honkela
2025	J	`jnl`	Beyond the Worst Case: Extending Differential Privacy Guarantees to Realistic Adversaries. CoRR Marika Swanberg, Meenatchi Sundaram Muthu Selva Annamalai, Jamie Hayes, Borja Balle, Adam D. Smith
2025	A*	`conf`	DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. ICLR Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni
2025	A*	`conf`	Hash-Prune-Invert: Improved Differentially Private Heavy-Hitter Detection in the Two-Server Model. SP Borja Balle, James Bell-Clark, Albert Cheu, Adrià Gascón, Jonathan Katz, Mariana Raykova, Phillipp Schoppmann, Thomas Steinke
2025	J	`jnl`	Preserving Expert-Level Privacy in Offline Reinforcement Learning. Trans. Mach. Learn. Res. Navodita Sharma, Vishnu Vinod, Abhradeep Guha Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer
2025	J	`jnl`	Privacy Awareness for Information-Sharing Assistants: A Case-study on Form-filling with Contextual Integrity. Trans. Mach. Learn. Res. Sahra Ghalebikesabi, Eugene Bagdasarian, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
2025	A*	`conf`	Scaling Laws for Differentially Private Language Models. ICML Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang
2025	J	`jnl`	Scaling Laws for Differentially Private Language Models. CoRR Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang
2025	J	`jnl`	The Hitchhiker's Guide to Efficient, End-to-End, and Tight DP Auditing. CoRR Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Jamie Hayes, Georgios Kaissis, Emiliano De Cristofaro
2025	A*	`conf`	The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. ICLR Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis
2025	J	`jnl`	Trusted Machine Learning Models Unlock Private Inference for Problems Currently Infeasible with Cryptography. CoRR Ilia Shumailov, Daniel Ramage, Sarah Meiklejohn, Peter Kairouz, Florian Hartmann, Borja Balle, Eugene Bagdasarian
2025	J	`jnl`	Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy. CoRR Bogdan Kulynych, Juan Felipe Gómez, Georgios Kaissis, Jamie Hayes, Borja Balle, Flávio P. Calmon, Jean Louis Raisaro
2024	J	`jnl`	Air Gap: Protecting Privacy-Conscious Conversational Agents. CoRR Eugene Bagdasaryan, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
2024	A*	`conf`	AirGapAgent: Protecting Privacy-Conscious Conversational Agents. CCS Eugene Bagdasarian, Ren Yi, Sahra Ghalebikesabi, Peter Kairouz, Marco Gruteser, Sewoong Oh, Borja Balle, Daniel Ramage
2024	A*	`conf`	Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. ICML Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
2024	J	`jnl`	Beyond the Calibration Point: Mechanism Comparison in Differential Privacy. CoRR Georgios Kaissis, Stefan Kolek, Borja Balle, Jamie Hayes, Daniel Rueckert
2024	J	`jnl`	CI-Bench: Benchmarking Contextual Integrity of AI Assistants on Synthetic Data. CoRR Zhao Cheng, Diane Wan, Matthew Abueg, Sahra Ghalebikesabi, Ren Yi, Eugene Bagdasarian, Borja Balle, Stefan Mellem, Shawn O'Banion
2024	J	`jnl`	DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction. CoRR Xinwei Zhang, Zhiqi Bu, Borja Balle, Mingyi Hong, Meisam Razaviyayn, Vahab Mirrokni
2024	J	`jnl`	Hash-Prune-Invert: Improved Differentially Private Heavy-Hitter Detection in the Two-Server Model. IACR Cryptol. ePrint Arch. Borja Balle, James Bell, Albert Cheu, Adrià Gascón, Jonathan Katz, Mariana Raykova, Phillipp Schoppmann, Thomas Steinke
2024	A	`conf`	On the Privacy of Selection Mechanisms with Gaussian Noise. AISTATS Jonathan Lebensold, Doina Precup, Borja Balle
2024	J	`jnl`	On the Privacy of Selection Mechanisms with Gaussian Noise. CoRR Jonathan Lebensold, Doina Precup, Borja Balle
2024	J	`jnl`	Operationalizing Contextual Integrity in Privacy-Conscious Assistants. CoRR Sahra Ghalebikesabi, Eugene Bagdasaryan, Ren Yi, Itay Yona, Ilia Shumailov, Aneesh Pappu, Chongyang Shi, Laura Weidinger, Robert Stanforth, Leonard Berrada, Pushmeet Kohli, Po-Sen Huang, Borja Balle
2024	J	`jnl`	Optimal approximate minimization of one-letter weighted finite automata. Math. Struct. Comput. Sci. Clara Lacroce, Borja Balle, Prakash Panangaden, Guillaume Rabusseau
2024	J	`jnl`	Preserving Expert-Level Privacy in Offline Reinforcement Learning. CoRR Navodita Sharma, Vishnu Vinod, Abhradeep Thakurta, Alekh Agarwal, Borja Balle, Christoph Dann, Aravindan Raghuveer
2024	J	`jnl`	Scalable watermarking for identifying large language model outputs. Nat. Sumanth Dathathri, Abigail See, Sumedh Ghaisas, Po-Sen Huang, Rob McAdam, Johannes Welbl, Vandana Bachani, Alex Kaskasoli, Robert Stanforth, Tatiana Matejovicova, Jamie Hayes, Nidhi Vyas, Majd Al Merey, Jonah Brown-Cohen, Rudy Bunel, Borja Balle, A. Taylan Cemgil, Zahra Ahmed, Kitty Stacpoole, Ilia Shumailov, Ciprian Baetu, Sven Gowal, Demis Hassabis, Pushmeet Kohli
2024	J	`jnl`	The Ethics of Advanced AI Assistants. CoRR Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika
2024	J	`jnl`	The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD. CoRR Thomas Steinke, Milad Nasr, Arun Ganesh, Borja Balle, Christopher A. Choquette-Choo, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis
2024	J	`jnl`	To Shuffle or not to Shuffle: Auditing DP-SGD with Shuffling. CoRR Meenatchi Sundaram Muthu Selva Annamalai, Borja Balle, Emiliano De Cristofaro, Jamie Hayes
2023	A*	`conf`	Amplification by Shuffling without Shuffling. CCS Borja Balle, James Bell, Adrià Gascón
2023	J	`jnl`	Amplification by Shuffling without Shuffling. CoRR Borja Balle, James Bell, Adrià Gascón
2023	J	`jnl`	Bounding Training Data Reconstruction in DP-SGD. CoRR Jamie Hayes, Saeed Mahloujifar, Borja Balle
2023	A*	`conf`	Bounding training data reconstruction in DP-SGD. NeurIPS Jamie Hayes, Borja Balle, Saeed Mahloujifar
2023	J	`jnl`	Differentially Private Diffusion Models Generate Useful Synthetic Images. CoRR Sahra Ghalebikesabi, Leonard Berrada, Sven Gowal, Ira Ktena, Robert Stanforth, Jamie Hayes, Soham De, Samuel L. Smith, Olivia Wiles, Borja Balle
2023	A*	`conf`	Extracting Training Data from Diffusion Models. USENIX Security Symposium Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
2023	J	`jnl`	Extracting Training Data from Diffusion Models. CoRR Nicholas Carlini, Jamie Hayes, Milad Nasr, Matthew Jagielski, Vikash Sehwag, Florian Tramèr, Borja Balle, Daphne Ippolito, Eric Wallace
2023	A	`conf`	Mnemonist: Locating Model Parameters that Memorize Training Examples. UAI Ali Shahin Shamsabadi, Jamie Hayes, Borja Balle, Adrian Weller
2023	J	`jnl`	Optimal Approximate Minimization of One-Letter Weighted Finite Automata. CoRR Clara Lacroce, Borja Balle, Prakash Panangaden, Guillaume Rabusseau
2023	A*	`conf`	Tight Auditing of Differentially Private Machine Learning. USENIX Security Symposium Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis
2023	J	`jnl`	Tight Auditing of Differentially Private Machine Learning. CoRR Milad Nasr, Jamie Hayes, Thomas Steinke, Borja Balle, Florian Tramèr, Matthew Jagielski, Nicholas Carlini, Andreas Terzis
2023	J	`jnl`	Unlocking Accuracy and Fairness in Differentially Private Image Classification. CoRR Leonard Berrada, Soham De, Judy Hanwen Shen, Jamie Hayes, Robert Stanforth, David Stutz, Pushmeet Kohli, Samuel L. Smith, Borja Balle
2022	J	`jnl`	Approximate minimization of weighted tree automata. Inf. Comput. Borja Balle, Guillaume Rabusseau
2022	J	`jnl`	Bisimulation metrics and norms for real-weighted automata. Inf. Comput. Borja Balle, Pascale Gourdeau, Prakash Panangaden
2022	J	`jnl`	Learning to be adversarially robust and differentially private. CoRR Jamie Hayes, Borja Balle, M. Pawan Kumar
2022	A*	`conf`	Reconstructing Training Data with Informed Adversaries. SP Borja Balle, Giovanni Cherubin, Jamie Hayes
2022	J	`jnl`	Reconstructing Training Data with Informed Adversaries. CoRR Borja Balle, Giovanni Cherubin, Jamie Hayes
2022	—	`conf`	Taxonomy of Risks posed by Language Models. FAccT Laura Weidinger, Jonathan Uesato, Maribeth Rauh, Conor Griffin, Po-Sen Huang, John Mellor, Amelia Glaese, Myra Cheng, Borja Balle, Atoosa Kasirzadeh, Courtney Biles, Sasha Brown, Zac Kenton, Will Hawkins, Tom Stepleton, Abeba Birhane, Lisa Anne Hendricks, Laura Rimell, William Isaac, Julia Haas, Sean Legassick, Geoffrey Irving, Iason Gabriel
2022	J	`jnl`	Unlocking High-Accuracy Differentially Private Image Classification through Scale. CoRR Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle
2021	J	`jnl`	Ethical and social risks of harm from Language Models. CoRR Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, Zac Kenton, Sasha Brown, Will Hawkins, Tom Stepleton, Courtney Biles, Abeba Birhane, Julia Haas, Laura Rimell, Lisa Anne Hendricks, William Isaac, Sean Legassick, Geoffrey Irving, Iason Gabriel
2021	A*	`conf`	Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. ICALP Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau
2021	J	`jnl`	Optimal Spectral-Norm Approximate Minimization of Weighted Finite Automata. CoRR Borja Balle, Clara Lacroce, Prakash Panangaden, Doina Precup, Guillaume Rabusseau
2020	A*	`conf`	A Framework for robustness Certification of Smoothed Classifiers using F-Divergences. ICLR Krishnamurthy (Dj) Dvijotham, Jamie Hayes, Borja Balle, J. Zico Kolter, Chongli Qin, András György, Kai Xiao, Sven Gowal, Pushmeet Kohli
2020	J	`jnl`	Automatic Discovery of Privacy-Utility Pareto Fronts. Proc. Priv. Enhancing Technol. Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle
2020	—	`conf`	Calibrating Mechanisms for Privacy Preserving Text Analysis. PrivateNLP@WSDM Oluwaseyi Feyisetan, Borja Balle, Tom Diethe, Thomas Drake
2020	J	`jnl`	Diameter and Stationary Distribution of Random $r$-Out Digraphs. Electron. J. Comb. Louigi Addario-Berry, Borja Balle, Guillem Perarnau
2020	A	`conf`	Hypothesis Testing Interpretations and Renyi Differential Privacy. AISTATS Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato
2020	A	`conf`	Local Differential Privacy for Sampling. AISTATS Hisham Husain, Borja Balle, Zac Cranko, Richard Nock
2020	A	`conf`	Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
2020	A*	`conf`	Privacy Amplification via Random Check-Ins. NeurIPS Borja Balle, Peter Kairouz, Brendan McMahan, Om Dipakbhai Thakkar, Abhradeep Thakurta
2020	J	`jnl`	Privacy Amplification via Random Check-Ins. CoRR Borja Balle, Peter Kairouz, H. Brendan McMahan, Om Thakkar, Abhradeep Thakurta
2020	J	`jnl`	Privacy Profiles and Amplification by Subsampling. J. Priv. Confidentiality Borja Balle, Gilles Barthe, Marco Gaboardi
2020	A	`conf`	Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. WSDM Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
2020	—	`conf`	Privacy-Preserving Textual Analysis via Calibrated Perturbations. PrivateNLP@WSDM Oluwaseyi Feyisetan, Borja Balle
2020	A*	`conf`	Private Reinforcement Learning with PAC and Regret Guarantees. ICML Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
2020	J	`jnl`	Private Reinforcement Learning with PAC and Regret Guarantees. CoRR Giuseppe Vietri, Borja Balle, Akshay Krishnamurthy, Zhiwei Steven Wu
2020	A*	`conf`	Private Summation in the Multi-Message Shuffle Model. CCS Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2020	J	`jnl`	Private Summation in the Multi-Message Shuffle Model. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2020	J	`jnl`	Secure and Scalable Document Similarity on Distributed Databases: Differential Privacy to the Rescue. Proc. Priv. Enhancing Technol. Phillipp Schoppmann, Lennart Vogelsang, Adrià Gascón, Borja Balle
2020	J	`jnl`	Subsampled Rényi Differential Privacy and Analytical Moments Accountant. J. Priv. Confidentiality Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
2019	J	`jnl`	Actor Critic with Differentially Private Critic. CoRR Jonathan Lebensold, William L. Hamilton, Borja Balle, Doina Precup
2019	J	`jnl`	Automatic Discovery of Privacy-Utility Pareto Fronts. CoRR Brendan Avent, Javier González, Tom Diethe, Andrei Paleyes, Borja Balle
2019	J	`jnl`	Continual Learning in Practice. CoRR Tom Diethe, Tom Borchert, Eno Thereska, Borja Balle, Neil Lawrence
2019	J	`jnl`	Differentially Private Summation with Multi-Message Shuffling. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	J	`jnl`	Hypothesis Testing Interpretations and Renyi Differential Privacy. CoRR Borja Balle, Gilles Barthe, Marco Gaboardi, Justin Hsu, Tetsuya Sato
2019	J	`jnl`	Improved Summation from Shuffling. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	J	`jnl`	Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
2019	A*	`conf`	PPML '19: Privacy Preserving Machine Learning. CCS Borja Balle, Adrià Gascón, Olya Ohrimenko, Mariana Raykova, Phillipp Schoppmann, Carmela Troncoso
2019	A*	`conf`	Privacy Amplification by Mixing and Diffusion Mechanisms. NeurIPS Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek
2019	J	`jnl`	Privacy Amplification by Mixing and Diffusion Mechanisms. CoRR Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek
2019	J	`jnl`	Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations. CoRR Oluwaseyi Feyisetan, Borja Balle, Thomas Drake, Tom Diethe
2019	J	`jnl`	Privacy-preserving Active Learning on Sensitive Data for User Intent Classification. CoRR Oluwaseyi Feyisetan, Thomas Drake, Borja Balle, Tom Diethe
2019	J	`jnl`	Singular value automata and approximate minimization. Math. Struct. Comput. Sci. Borja Balle, Prakash Panangaden, Doina Precup
2019	A	`conf`	Subsampled Renyi Differential Privacy and Analytical Moments Accountant. AISTATS Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
2019	—	`conf`	The Privacy Blanket of the Shuffle Model. CRYPTO (2) Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2019	J	`jnl`	The Privacy Blanket of the Shuffle Model. CoRR Borja Balle, James Bell, Adrià Gascón, Kobbi Nissim
2018	J	`jnl`	Generalization bounds for learning weighted automata. Theor. Comput. Sci. Borja Balle, Mehryar Mohri
2018	J	`jnl`	Hierarchical Methods of Moments. CoRR Matteo Ruffini, Guillaume Rabusseau, Borja Balle
2018	A*	`conf`	Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising. ICML Borja Balle, Yu-Xiang Wang
2018	J	`jnl`	Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising. CoRR Borja Balle, Yu-Xiang Wang
2018	A*	`conf`	Learning Predictive State Representations From Non-Uniform Sampling. AAAI Yuri Grinberg, Hossein Aboutalebi, Melanie Lyman-Abramovitch, Borja Balle, Doina Precup
2018	A*	`conf`	Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. NeurIPS Borja Balle, Gilles Barthe, Marco Gaboardi
2018	J	`jnl`	Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences. CoRR Borja Balle, Gilles Barthe, Marco Gaboardi
2018	J	`jnl`	Private Nearest Neighbors Classification in Federated Databases. IACR Cryptol. ePrint Arch. Phillipp Schoppmann, Adrià Gascón, Borja Balle
2018	J	`jnl`	Subsampled Rényi Differential Privacy and Analytical Moments Accountant. CoRR Yu-Xiang Wang, Borja Balle, Shiva Prasad Kasiviswanathan
2017	A*	`conf`	Bisimulation Metrics for Weighted Automata. ICALP Borja Balle, Pascale Gourdeau, Prakash Panangaden
2017	J	`jnl`	Bisimulation Metrics for Weighted Automata. CoRR Borja Balle, Pascale Gourdeau, Prakash Panangaden
2017	—	`conf`	Hierarchical Methods of Moments. NIPS Matteo Ruffini, Guillaume Rabusseau, Borja Balle
2017	—	`conf`	Multitask Spectral Learning of Weighted Automata. NIPS Guillaume Rabusseau, Borja Balle, Joelle Pineau
2017	J	`jnl`	Privacy-Preserving Distributed Linear Regression on High-Dimensional Data. Proc. Priv. Enhancing Technol. Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
2017	J	`jnl`	Singular value automata and approximate minimization. CoRR Borja Balle, Prakash Panangaden, Doina Precup
2017	A*	`conf`	Spectral Learning from a Single Trajectory under Finite-State Policies. ICML Borja Balle, Odalric-Ambrym Maillard
2016	A*	`conf`	Differentially Private Policy Evaluation. ICML Borja Balle, Maziar Gomrokchi, Doina Precup
2016	J	`jnl`	Differentially Private Policy Evaluation. CoRR Borja Balle, Maziar Gomrokchi, Doina Precup
2016	J	`jnl`	Generalization Bounds for Weighted Automata. CoRR Borja Balle, Mehryar Mohri
2016	A*	`conf`	Learning Multi-Step Predictive State Representations. IJCAI Lucas Langer, Borja Balle, Doina Precup
2016	A*	`conf`	Learning time series models for pedestrian motion prediction. ICRA Chenghui Zhou, Borja Balle, Joelle Pineau
2016	A	`conf`	Low-Rank Approximation of Weighted Tree Automata. AISTATS Guillaume Rabusseau, Borja Balle, Shay B. Cohen
2016	A*	`conf`	Multitask Generalized Eigenvalue Program. AAAI Boyu Wang, Joelle Pineau, Borja Balle
2016	—	`conf`	Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence. ICGI Borja Balle, Rémi Eyraud, Franco M. Luque, Ariadna Quattoni, Sicco Verwer
2016	J	`jnl`	Secure Linear Regression on Vertically Partitioned Datasets. IACR Cryptol. ePrint Arch. Adrià Gascón, Phillipp Schoppmann, Borja Balle, Mariana Raykova, Jack Doerner, Samee Zahur, David Evans
2015	A*	`conf`	A Canonical Form for Weighted Automata and Applications to Approximate Minimization. LICS Borja Balle, Prakash Panangaden, Doina Precup
2015	J	`jnl`	A Canonical Form for Weighted Automata and Applications to Approximate Minimization. CoRR Borja Balle, Prakash Panangaden, Doina Precup
2015	J	`jnl`	Diameter and Stationary Distribution of Random $r$-out Digraphs. CoRR Louigi Addario-Berry, Borja Balle, Guillem Perarnau
2015	—	`conf`	Learning Weighted Automata. CAI Borja Balle, Mehryar Mohri
2015	A	`conf`	Learning and Planning with Timing Information in Markov Decision Processes. UAI Pierre-Luc Bacon, Borja Balle, Doina Precup
2015	B	`conf`	On the Rademacher Complexity of Weighted Automata. ALT Borja Balle, Mehryar Mohri
2015	J	`jnl`	Weighted Tree Automata Approximation by Singular Value Truncation. CoRR Guillaume Rabusseau, Borja Balle, Shay B. Cohen
2014	J	`jnl`	Adaptively learning probabilistic deterministic automata from data streams. Mach. Learn. Borja Balle, Jorge Castro, Ricard Gavaldà
2014	A*	`conf`	Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison. ICML Borja Balle, William L. Hamilton, Joelle Pineau
2014	A*	`conf`	Spectral Regularization for Max-Margin Sequence Tagging. ICML Ariadna Quattoni, Borja Balle, Xavier Carreras, Amir Globerson
2014	J	`jnl`	Spectral learning of weighted automata - A forward-backward perspective. Mach. Learn. Borja Balle, Xavier Carreras, Franco M. Luque, Ariadna Quattoni
2013	J	`jnl`	Ergodicity of Random Walks on Random DFA. CoRR Borja Balle
2013	—	`—`	Learning finite-state machines: statistical and algorithmic aspects. Borja Balle
2013	J	`jnl`	Learning probabilistic automata: A study in state distinguishability. Theor. Comput. Sci. Borja Balle, Jorge Castro, Ricard Gavaldà
2013	—	`conf`	The Architecture of a Churn Prediction System Based on Stream Mining. CCIA Borja Balle, Bernardino Casas, Alex Catarineu, Ricard Gavaldà, David Manzano-Macho
2012	—	`conf`	Bootstrapping and Learning PDFA in Data Streams. ICGI Borja Balle, Jorge Castro, Ricard Gavaldà
2012	A*	`conf`	Local Loss Optimization in Operator Models: A New Insight into Spectral Learning. ICML Borja Balle, Ariadna Quattoni, Xavier Carreras
2012	A	`conf`	Spectral Learning for Non-Deterministic Dependency Parsing. EACL Franco M. Luque, Ariadna Quattoni, Borja Balle, Xavier Carreras
2012	—	`conf`	Spectral Learning of General Weighted Automata via Constrained Matrix Completion. NIPS Borja Balle, Mehryar Mohri
2011	—	`conf`	A Spectral Learning Algorithm for Finite State Transducers. ECML/PKDD (1) Borja Balle, Ariadna Quattoni, Xavier Carreras
2010	B	`conf`	A Lower Bound for Learning Distributions Generated by Probabilistic Automata. ALT Borja Balle, Jorge Castro, Ricard Gavaldà
2010	—	`conf`	Learning PDFA with Asynchronous Transitions. ICGI Borja Balle, Jorge Castro, Ricard Gavaldà
2008	J	`jnl`	Absolute-Type Shaft Encoding Using LFSR Sequences With a Prescribed Length. IEEE Trans. Instrum. Meas. Josep M. Fuertes, Borja Balle, Enric Ventura