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Poster
Tue 9:00 Outlier-Robust Sparse Estimation via Non-Convex Optimization
Yu Cheng · Ilias Diakonikolas · Rong Ge · Shivam Gupta · Daniel Kane · Mahdi Soltanolkotabi
Poster
Tue 9:00 Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
Ilias Diakonikolas · Daniel Kane · Jasper Lee · Ankit Pensia
Workshop
A Vision for Certifiable Perception: from Outlier-Robust Estimation to Self-Supervised Learning - Luca Carlone & Rajat Talak
Hamidreza Kasaei
Poster
Thu 9:00 Hyperparameter Sensitivity in Deep Outlier Detection: Analysis and a Scalable Hyper-Ensemble Solution
Xueying Ding · Lingxiao Zhao · Leman Akoglu
Poster
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models
Xiuying Wei · Yunchen Zhang · Xiangguo Zhang · Ruihao Gong · Shanghang Zhang · Qi Zhang · Fengwei Yu · Xianglong Liu
Poster
Thu 14:00 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
Kay Liu · Yingtong Dou · Yue Zhao · Xueying Ding · Xiyang Hu · Ruitong Zhang · Kaize Ding · Canyu Chen · Hao Peng · Kai Shu · Lichao Sun · Jundong Li · George H Chen · Zhihao Jia · Philip S Yu
Poster
Wed 14:00 Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
Saikiran Bulusu · Geethu Joseph · M. Cenk Gursoy · Pramod Varshney
Poster
Thu 14:00 ADBench: Anomaly Detection Benchmark
Songqiao Han · Xiyang Hu · Hailiang Huang · Minqi Jiang · Yue Zhao
Poster
SoftPatch: Unsupervised Anomaly Detection with Noisy Data
Xi Jiang · Jianlin Liu · Jinbao Wang · Qiang Nie · Kai WU · Yong Liu · Chengjie Wang · Feng Zheng
Poster
Wed 9:00 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
Workshop
Fri 8:35 Statelessness in Asylum Data ‚Äì A Human-Centered Perspective on Outliers. Kristin Kaltenhauser, Naja Møller
Workshop
On Outlier Exposure with Generative Models
Konstantin Kirchheim · Frank Ortmeier