Han, Insu

19 publications

ICLRW 2025 ClusterGen: Token Generation in Sublinear Time and Memory with Clustering KV Cache Amir Zandieh, Insu Han, Amin Karbasi, Vahab Mirrokni

AAAI 2025 QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead Amir Zandieh, Majid Daliri, Insu Han

ICLRW 2025 QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero Overhead Amir Zandieh, Majid Daliri, Insu Han

NeurIPS 2025 Streaming Attention Approximation via Discrepancy Theory Ekaterina Kochetkova, Kshiteej Sheth, Insu Han, Amir Zandieh, Michael Kapralov

ICML 2024 Cell2Sentence: Teaching Large Language Models the Language of Biology Daniel Levine, Syed A Rizvi, Sacha Lévy, Nazreen Pallikkavaliyaveetil, David Zhang, Xingyu Chen, Sina Ghadermarzi, Ruiming Wu, Zihe Zheng, Ivan Vrkic, Anna Zhong, Daphne Raskin, Insu Han, Antonio Henrique De Oliveira Fonseca, Josue Ortega Caro, Amin Karbasi, Rahul Madhav Dhodapkar, David Van Dijk

ICLR 2024 HyperAttention: Long-Context Attention in Near-Linear Time Insu Han, Rajesh Jayaram, Amin Karbasi, Vahab Mirrokni, David Woodruff, Amir Zandieh

ICML 2023 KDEformer: Accelerating Transformers via Kernel Density Estimation Amir Zandieh, Insu Han, Majid Daliri, Amin Karbasi

NeurIPS 2023 Near Optimal Reconstruction of Spherical Harmonic Expansions Amir Zandieh, Insu Han, Haim Avron

NeurIPS 2022 Fast Neural Kernel Embeddings for General Activations Insu Han, Amir Zandieh, Jaehoon Lee, Roman Novak, Lechao Xiao, Amin Karbasi

ICML 2022 Random Gegenbauer Features for Scalable Kernel Methods Insu Han, Amir Zandieh, Haim Avron

ICML 2022 Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes Insu Han, Mike Gartrell, Elvis Dohmatob, Amin Karbasi

ICLR 2022 Scalable Sampling for Nonsymmetric Determinantal Point Processes Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, Amin Karbasi

ICLR 2021 Scalable Learning and MAP Inference for Nonsymmetric Determinantal Point Processes Mike Gartrell, Insu Han, Elvis Dohmatob, Jennifer Gillenwater, Victor-Emmanuel Brunel

NeurIPS 2021 Scaling Neural Tangent Kernels via Sketching and Random Features Amir Zandieh, Insu Han, Haim Avron, Neta Shoham, Chaewon Kim, Jinwoo Shin

AISTATS 2020 MAP Inference for Customized Determinantal Point Processes via Maximum Inner Product Search Insu Han, Jennifer Gillenwater

ICML 2020 Polynomial Tensor Sketch for Element-Wise Function of Low-Rank Matrix Insu Han, Haim Avron, Jinwoo Shin

NeurIPS 2018 Stochastic Chebyshev Gradient Descent for Spectral Optimization Insu Han, Haim Avron, Jinwoo Shin

ICML 2017 Faster Greedy MAP Inference for Determinantal Point Processes Insu Han, Prabhanjan Kambadur, Kyoungsoo Park, Jinwoo Shin

ICML 2015 Large-Scale Log-Determinant Computation Through Stochastic Chebyshev Expansions Insu Han, Dmitry Malioutov, Jinwoo Shin