Christopher Liaw
Orcid: 0000-0001-5373-9229
According to our database1,
Christopher Liaw
authored at least 31 papers
between 2016 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Proceedings of the International Conference on Algorithmic Learning Theory, 2024
2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Near-optimal Sample Complexity Bounds for Robust Learning of Gaussian Mixtures via Compression Schemes.
J. ACM, 2020
Improved Algorithms for Online Submodular Maximization via First-order Regret Bounds.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 61st IEEE Annual Symposium on Foundations of Computer Science, 2020
2019
Nearly-tight VC-dimension and Pseudodimension Bounds for Piecewise Linear Neural Networks.
J. Mach. Learn. Res., 2019
Simple and optimal high-probability bounds for strongly-convex stochastic gradient descent.
CoRR, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the 2019 ACM Conference on Economics and Computation, 2019
Proceedings of the Conference on Learning Theory, 2019
2018
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures, 2018
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 30th Canadian Conference on Computational Geometry, 2018
2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
Proceedings of the 30th Conference on Learning Theory, 2017
2016
CoRR, 2016