17 results on '"Insu Han"'
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2. SubGen: Token Generation in Sublinear Time and Memory.
3. KDEformer: Accelerating Transformers via Kernel Density Estimation.
4. HyperAttention: Long-context Attention in Near-Linear Time.
5. Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes.
6. Fast Neural Kernel Embeddings for General Activations.
7. Near Optimal Reconstruction of Spherical Harmonic Expansions.
8. Random Gegenbauer Features for Scalable Kernel Methods.
9. Scalable Sampling for Nonsymmetric Determinantal Point Processes.
10. Scaling Neural Tangent Kernels via Sketching and Random Features.
11. Random Features for the Neural Tangent Kernel.
12. Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes.
13. Polynomial Tensor Sketch for Element-wise Function of Low-Rank Matrix.
14. Optimizing Spectral Sums using Randomized Chebyshev Expansions.
15. Faster Greedy MAP Inference for Determinantal Point Processes.
16. Approximating the Spectral Sums of Large-scale Matrices using Chebyshev Approximations.
17. Large-scale Log-determinant Computation through Stochastic Chebyshev Expansions.
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