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Natalia Ponomareva

JetTrain: IDE-Native Machine Learning Experiments

Feb 16, 2024
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DART: A Principled Approach to Adversarially Robust Unsupervised Domain Adaptation

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Feb 16, 2024
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Scaling Laws for Downstream Task Performance of Large Language Models

Feb 06, 2024
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Explaining and Adapting Graph Conditional Shift

Jun 05, 2023
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COMET: Learning Cardinality Constrained Mixture of Experts with Trees and Local Search

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Jun 05, 2023
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Harnessing large-language models to generate private synthetic text

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Jun 02, 2023
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Privacy-Preserving Recommender Systems with Synthetic Query Generation using Differentially Private Large Language Models

May 10, 2023
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How to DP-fy ML: A Practical Guide to Machine Learning with Differential Privacy

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Mar 02, 2023
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Fast as CHITA: Neural Network Pruning with Combinatorial Optimization

Feb 28, 2023
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Mind the (optimality) Gap: A Gap-Aware Learning Rate Scheduler for Adversarial Nets

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Jan 31, 2023
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