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39

Monotone Learning

6 November 2023 by Olivier Bousquet and others

Machine Learning, Artificial Intelligence

The Dynamics of Sharpness-Aware Minimization: Bouncing Across Ravines and Drifting Towards Wide Minima

11 April 2023 by Peter Bartlett and others at

Machine Learning, Optimization and Control

Diagonalization Games

19 January 2023 by Noga Alon and others

Combinatorics, Computational Complexity

Differentially-Private Bayes Consistency

8 December 2022 by Olivier Bousquet and others

Machine Learning, Cryptography and Security

Fine-Grained Distribution-Dependent Learning Curves

10 November 2022 by Olivier Bousquet and others

Machine Learning, Computational Complexity

Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

6 October 2022 by Denny Zhou and others at

Artificial Intelligence, Computation and Language

Compositional Semantic Parsing with Large Language Models

30 September 2022 by Andrew Drozdov and others

Computation and Language, Artificial Intelligence

When can unlabeled data improve the learning rate?

9 February 2022 by Christina Göpfert and others

Machine Learning

Statistically Near-Optimal Hypothesis Selection

17 August 2021 by Olivier Bousquet and others

Machine Learning, Artificial Intelligence

What Do Neural Networks Learn When Trained With Random Labels?

11 November 2020 by Hartmut Maennel and others

Machine Learning

A Theory of Universal Learning

9 November 2020 by Olivier Bousquet and others

Machine Learning, Data Structures and Algorithms

Fast classification rates without standard margin assumptions

26 October 2020 by Olivier Bousquet and Nikita Zhivotovskiy

Machine Learning, Statistics Theory

Synthetic Data Generators: Synthetic and Private

23 October 2020 by Olivier Bousquet and others

Machine Learning

Measuring Compositional Generalization: A Comprehensive Method on Realistic Data

25 June 2020 by Daniel Keysers and others

Machine Learning, Computation and Language

Precision-Recall Curves Using Information Divergence Frontiers

8 June 2020 by Josip Djolonga and others

Machine Learning

Sharper bounds for uniformly stable algorithms

26 May 2020 by Olivier Bousquet and others

Machine Learning, Probability

Predicting Neural Network Accuracy from Weights

26 May 2020 by Thomas Unterthiner and others

Machine Learning

Proper Learning, Helly Number, and an Optimal SVM Bound

24 May 2020 by Olivier Bousquet and others

Machine Learning, Data Structures and Algorithms

Google Research Football: A Novel Reinforcement Learning Environment

14 April 2020 by Karol Kurach and others

Machine Learning

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

21 February 2020 by Xiaohua Zhai and others at

Computer Vision and Pattern Recognition, Machine Learning

Iterated Jackknives and Two-Sided Variance Inequalities

30 December 2019 by Olivier Bousquet and Christian Houdré

Statistics Theory, Probability

Practical and Consistent Estimation of f-Divergences

24 October 2019 by Paul Rubenstein and others

Machine Learning, Information Theory

The Optimal Approximation Factor in Density Estimation

26 May 2019 by Olivier Bousquet and others

Machine Learning, Computational Complexity

Assessing Generative Models via Precision and Recall

28 October 2018 by Mehdi S. M. Sajjadi and others

Machine Learning

Gradient Descent Quantizes ReLU Network Features

22 March 2018 by Hartmut Maennel and others

Machine Learning

Wasserstein Auto-Encoders

19 December 2017 by Ilya Tolstikhin and others

Machine Learning

Are GANs Created Equal? A Large-Scale Study

30 November 2017 by Mario Lucic and others

Machine Learning

Toward Optimal Run Racing: Application to Deep Learning Calibration

20 June 2017 by Olivier Bousquet and others

Machine Learning

Critical Hyper-Parameters: No Random, No Cry

10 June 2017 by Olivier Bousquet and others

Machine Learning

Better Text Understanding Through Image-To-Text Transfer

26 May 2017 by Karol Kurach and others

Computation and Language, Computer Vision and Pattern Recognition

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Machine Learning Statistics Theory Information Theory Probability Artificial Intelligence Computational Complexity Computation and Language Optimization and Control Data Structures and Algorithms Computer Vision and Pattern Recognition Combinatorics Discrete Mathematics Logic Cryptography and Security Statistical Theory