Frederic Koehler
Orcid: 0000-0001-5220-9680
According to our database1,
Frederic Koehler
authored at least 47 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2014
2016
2018
2020
2022
2024
0
1
2
3
4
5
6
7
8
9
10
1
1
3
3
2
1
6
3
7
6
3
5
2
2
1
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Efficiently learning and sampling multimodal distributions with data-based initialization.
CoRR, 2024
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024
Universality of Spectral Independence with Applications to Fast Mixing in Spin Glasses.
Proceedings of the 2024 ACM-SIAM Symposium on Discrete Algorithms, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Lasso with Latents: Efficient Estimation, Covariate Rescaling, and Computational-Statistical Gaps.
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
CoRR, 2022
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Variational autoencoders in the presence of low-dimensional data: landscape and implicit bias.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
2021
Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression.
CoRR, 2021
Entropic Independence II: Optimal Sampling and Concentration via Restricted Modified Log-Sobolev Inequalities.
CoRR, 2021
Entropic Independence in High-Dimensional Expanders: Modified Log-Sobolev Inequalities for Fractionally Log-Concave Polynomials and the Ising Model.
CoRR, 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
Online and Distribution-Free Robustness: Regression and Contextual Bandits with Huber Contamination.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021
2020
How Many Subpopulations Is Too Many? Exponential Lower Bounds for Inferring Population Histories.
J. Comput. Biol., 2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Connections to Evolvability.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Classification Under Misspecification: Halfspaces, Generalized Linear Models, and Evolvability.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Mean-field approximation, convex hierarchies, and the optimality of correlation rounding: a unified perspective.
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019
Proceedings of the 51st Annual ACM SIGACT Symposium on Theory of Computing, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
The Comparative Power of ReLU Networks and Polynomial Kernels in the Presence of Sparse Latent Structure.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Conference on Learning Theory, 2019
2018
Representational Power of ReLU Networks and Polynomial Kernels: Beyond Worst-Case Analysis.
CoRR, 2018
Proceedings of the Conference On Learning Theory, 2018
Proceedings of the Conference On Learning Theory, 2018
2017
Proceedings of the Algorithms and Data Structures - 15th International Symposium, 2017
Information Theoretic Properties of Markov Random Fields, and their Algorithmic Applications.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2013
Proceedings of the Algorithms and Data Structures - 13th International Symposium, 2013