Near-Optimal Algorithms for Gaussians with Huber Contamination: Mean Estimation and Linear Regression
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Conference paper
Publications
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
- Ilias Diakonikolas
- Daniel Kane
- et al.
- 2023
- NeurIPS 2023
Conference paperMax-Sliced Mutual Information
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- et al.
- 2023
- NeurIPS 2023
Conference paperLong Sequence Hopfield Memory
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- et al.
- 2023
- NeurIPS 2023
Conference paperHyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
- Chen Chen
- Yuchen Hu
- et al.
- 2023
- NeurIPS 2023
Conference paperEnergy Transformer
- Benjamin Hoover
- Yuchen Liang
- et al.
- 2023
- NeurIPS 2023
Conference paperPairwise Causality Guided Transformers for Event Sequences
- Xiao Shou
- Debarun Bhattacharjya
- et al.
- 2023
- NeurIPS 2023
Conference paperTIES-Merging: Resolving Interference When Merging Models
- Prateek Yadav
- Derek Tam
- et al.
- 2023
- NeurIPS 2023
Conference paperRADAR: Robust AI-Text Detection via Adversarial Learning
- Xiaomeng Hu
- Pin-Yu Chen
- et al.
- 2023
- NeurIPS 2023
Conference paperSyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network
- Yuting Hu
- Jiajie Li
- et al.
- 2023
- NeurIPS 2023
Conference paper