24 results on '"Daniel A. Kane"'
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2. Statistical Query Lower Bounds for Learning Truncated Gaussians.
3. New Lower Bounds for Testing Monotonicity and Log Concavity of Distributions.
4. Efficiently Learning One-Hidden-Layer ReLU Networks via SchurPolynomials.
5. Information-Computation Tradeoffs for Learning Margin Halfspaces with Random Classification Noise.
6. SQ Lower Bounds for Learning Mixtures of Separated and Bounded Covariance Gaussians.
7. Statistical and Computational Limits for Tensor-on-Tensor Association Detection.
8. Realizable Learning is All You Need.
9. Robust Sparse Mean Estimation via Sum of Squares.
10. Optimal SQ Lower Bounds for Robustly Learning Discrete Product Distributions and Ising Models.
11. Outlier-Robust Learning of Ising Models Under Dobrushin's Condition.
12. Agnostic Proper Learning of Halfspaces under Gaussian Marginals.
13. The Optimality of Polynomial Regression for Agnostic Learning under Gaussian Marginals in the SQ Model.
14. The Sample Complexity of Robust Covariance Testing.
15. Boosting in the Presence of Massart Noise.
16. Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks.
17. Learning Ising Models with Independent Failures.
18. Communication and Memory Efficient Testing of Discrete Distributions.
19. Testing Identity of Multidimensional Histograms.
20. Testing Bayesian Networks.
21. Learning Multivariate Log-concave Distributions.
22. Optimal Learning via the Fourier Transform for Sums of Independent Integer Random Variables.
23. Properly Learning Poisson Binomial Distributions in Almost Polynomial Time.
24. Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching.
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