Avinava Dubey
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LEARNING THE TRANSFORMER KERNEL
Sankalan Chowdhury
Adamos Solomou
Mrinmaya Sachan
Transactions on Machine Learning Research (2022)
A Fourier Approach to Mixture Learning
Mingda Qiao
Guru Prashanth Guruganesh
Manzil Zaheer
Conference on Neural Information Processing Systems (2022)
Chefs’ Random Tables: Non-Trigonometric Random Features
Valerii Likhosherstov
Frederick Liu
Adrian Weller
NeurIPS 2022 (2022) (to appear)
Exact and Approximate Hierarchical Clustering Using A*
Craig Greenberg
Sebastian Macaluso
Nicholas Monath
Patrick Flaherty
Manzil Zaheer
Kyle Cranmer
Andrew McCallum
Uncertainty in Artificial Intelligence (2021)
Scalable Hierarchical Agglomerative Clustering
Nick Monath
Guru Prashanth Guruganesh
Manzil Zaheer
Andrew McCallum
Gokhan Mergen
Mert Terzihan
Bryon Tjanaka
Yuchen Wu
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2021), 1245–1255
DAG-structured Clustering by Nearest-Neighbors
Nicholas Monath
Manzil Zaheer
Andrew McCallum
International Conference on Artificial Intelligence and Statistics (2021)
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Prashanth Guruganesh
Joshua Ainslie
Anirudh Ravula
Qifan Wang
Li Yang
NeurIPS (2020)
