Borja Balle
28 papers · 2012–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (8)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Academic Marathon
(13)
π
Keyword Trendsetter Combo
(3)
π¬
Deep Specialist
(12)
π
Triple Crown
π
Trend Setter
π
Century Club
(28)
ποΈ
Keyword Collector
(85)
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
Conferences
ICML (8)
NIPS (7)
AISTATS (6)
ICLR (3)
EACL (1)
EMNLP (1)
IJCAI (1)
UAI (1)
Top co-authors
Research topics
Keywords
differential privacy
(8)
spectral learning
(3)
weighted automaton
(3)
privacy amplification
(3)
hankel matrix
(3)
spectral method
(3)
privacy-preserving machine learning
(2)
gaussian mechanism
(2)
privacy accounting
(2)
latent variable model
(2)
singular value decomposition
(2)
weighted automata
(2)
expectation maximization
(1)
topic modeling
(1)
reinforcement learning
(1)
density estimation
(1)
decision making
(1)
privacy attack
(1)
federated learning
(1)
structured prediction
(1)
Papers
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
ICLR 2025
Scaling Laws for Differentially Private Language Models
ICML 2025
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
ICLR 2025
On the Privacy of Selection Mechanisms with Gaussian Noise
AISTATS 2024
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy
ICML 2024
Mnemonist: Locating Model Parameters that Memorize Training Examples
UAI 2023
Bounding training data reconstruction in DP-SGD
NIPS 2023
Private Reinforcement Learning with PAC and Regret Guarantees
ICML 2020
Privacy Amplification via Random Check-Ins
NIPS 2020
Model-Agnostic Counterfactual Explanations for Consequential Decisions
AISTATS 2020
Hypothesis Testing Interpretations and Renyi Differential Privacy
AISTATS 2020
Local Differential Privacy for Sampling
AISTATS 2020
A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES
ICLR 2020
Subsampled Renyi Differential Privacy and Analytical Moments Accountant
AISTATS 2019
Privacy Amplification by Mixing and Diffusion Mechanisms
NIPS 2019
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences
NIPS 2018
Improving the Gaussian Mechanism for Differential Privacy: Analytical Calibration and Optimal Denoising
ICML 2018
Hierarchical Methods of Moments
NIPS 2017
Multitask Spectral Learning of Weighted Automata
NIPS 2017
Spectral Learning from a Single Trajectory under Finite-State Policies
ICML 2017
Differentially Private Policy Evaluation
ICML 2016
Low-Rank Approximation of Weighted Tree Automata
AISTATS 2016
Learning Multi-Step Predictive State Representations
IJCAI 2016
Spectral Learning Techniques for Weighted Automata, Transducers, and Grammars
EMNLP 2014
Methods of Moments for Learning Stochastic Languages: Unified Presentation and Empirical Comparison
ICML 2014
Spectral Regularization for Max-Margin Sequence Tagging
ICML 2014
Spectral Learning of General Weighted Automata via Constrained Matrix Completion
NIPS 2012
Spectral Learning for Non-Deterministic Dependency Parsing
EACL 2012