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05/26/2023
LANISTR: Multimodal Learning from Structured and Unstructured Data
Multimodal large-scale pretraining has shown impressive performance gain...
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04/06/2023
SLM: End-to-end Feature Selection via Sparse Learnable Masks
Feature selection has been widely used to alleviate compute requirements...
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03/05/2021
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth
Attention-based architectures have become ubiquitous in machine learning...
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06/22/2020
HNHN: Hypergraph Networks with Hyperedge Neurons
Hypergraphs provide a natural representation for many real world dataset...
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06/11/2020
CoinPress: Practical Private Mean and Covariance Estimation
We present simple differentially private estimators for the mean and cov...
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05/03/2020
A Study of Performance of Optimal Transport
We investigate the problem of efficiently computing optimal transport (O...
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03/09/2020
COPT: Coordinated Optimal Transport on Graphs
We introduce COPT, a novel distance metric between graphs defined via an...
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10/09/2019
Scalable Nearest Neighbor Search for Optimal Transport
The Optimal Transport (a.k.a. Wasserstein) distance is an increasingly p...
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06/26/2019
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
We study two problems in high-dimensional robust statistics: robust mean...
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04/03/2019
SANNS: Scaling Up Secure Approximate k-Nearest Neighbors Search
We present new secure protocols for approximate k-nearest neighbor searc...
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01/24/2019
Learning Sublinear-Time Indexing for Nearest Neighbor Search
Most of the efficient sublinear-time indexing algorithms for the high-di...
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01/24/2019
