Articles by Gintare Karolina Dziugaite | Synthical

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40

On the Dichotomy Between Privacy and Traceability in \ell_p Stochastic Convex Optimization

24 February 2025 by Sasha Voitovych and others

Machine Learning

The Journey Matters: Average Parameter Count over Pre-training Unifies Sparse and Dense Scaling Laws

21 January 2025 by Tian Jin and others

Machine Learning, Computation and Language

Soup to go: mitigating forgetting during continual learning with model averaging

9 January 2025 by Anat Kleiman and others

Machine Learning, Artificial Intelligence

Evaluating Interventional Reasoning Capabilities of Large Language Models

22 December 2024 by Tejas Kasetty and others at

Machine Learning, Artificial Intelligence

Mechanistic Unlearning: Robust Knowledge Unlearning and Editing via Mechanistic Localization

5 December 2024 by Phillip Guo and others

Machine Learning, Computation and Language

Improved Localized Machine Unlearning Through the Lens of Memorization

3 December 2024 by Reihaneh Torkzadehmahani and others

Machine Learning

Unlearning in- vs. out-of-distribution data in LLMs under gradient-based method

7 November 2024 by Teodora Baluta and others

Machine Learning

The Non-Local Model Merging Problem: Permutation Symmetries and Variance Collapse

16 October 2024 by Ekansh Sharma and others at

Machine Learning

Information Complexity of Stochastic Convex Optimization: Applications to Generalization and Memorization

18 July 2024 by Idan Attias and others

Machine Learning

Mixtures of Experts Unlock Parameter Scaling for Deep RL

26 June 2024 by Johan Obando-Ceron and others at

Université de Montréal

Machine Learning, Artificial Intelligence

Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition

13 June 2024 by Eleni Triantafillou and others

Machine Learning

Data Selection for Transfer Unlearning

16 May 2024 by Nazanin Mohammadi Sepahvand and others

Machine Learning

Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning

15 May 2024 by Riyasat Ohib and others

Machine Learning, Artificial Intelligence

Simultaneous linear connectivity of neural networks modulo permutation

9 April 2024 by Ekansh Sharma and others

Machine Learning

Identifying Spurious Biases Early in Training through the Lens of Simplicity Bias

7 March 2024 by Yu Yang and others

Machine Learning, Computer Vision and Pattern Recognition

Dataset Difficulty and the Role of Inductive Bias

3 January 2024 by Devin Kwok and others

Machine Learning

JaxPruner: A concise library for sparsity research

19 December 2023 by Joo Hyung Lee and others at

Machine Learning, Software Engineering

Leveraging Function Space Aggregation for Federated Learning at Scale

17 November 2023 by Nikita Dhawan and others

Machine Learning

The Cost of Down-Scaling Language Models: Fact Recall Deteriorates before In-Context Learning

7 October 2023 by Tian Jin and others

Computation and Language, Artificial Intelligence

Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization

31 January 2023 by Mahdi Haghifam and others

Machine Learning

The Effect of Data Dimensionality on Neural Network Prunability

1 December 2022 by Zachary Ankner and others

Machine Learning

Pruning's Effect on Generalization Through the Lens of Training and Regularization

25 October 2022 by Tian Jin and others

Machine Learning

Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask?

6 October 2022 by Mansheej Paul and others

Machine Learning, Artificial Intelligence

Understanding Generalization via Leave-One-Out Conditional Mutual Information

29 June 2022 by Mahdi Haghifam and others

Machine Learning

Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks

2 June 2022 by Mansheej Paul and others

Machine Learning, Artificial Intelligence

Towards a Unified Information-Theoretic Framework for Generalization

17 November 2021 by Mahdi Haghifam and others

Information Theory, Machine Learning

Probabilistic fine-tuning of pruning masks and PAC-Bayes self-bounded learning

22 October 2021 by Soufiane Hayou and others

Machine Learning

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

21 March 2021 by Jonathan Frankle and others

Machine Learning, Computer Vision and Pattern Recognition

In Search of Robust Measures of Generalization

20 January 2021 by Gintare Karolina Dziugaite and others

Machine Learning

NeurIPS 2020 Competition: Predicting Generalization in Deep Learning

14 December 2020 by Yiding Jiang and others at

Machine Learning

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Machine Learning Information Theory Artificial Intelligence Computer Vision and Pattern Recognition Computation and Language Neural and Evolutionary Computing Distributed, Parallel, and Cluster Computing Methodology Software Engineering