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Langevin Diffusion: An Almost Universal Algorithm for Private Euclidean (Convex) Optimization

Apr 06, 2022
Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay

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Logistic-ELM: A Novel Fault Diagnosis Method for Rolling Bearings

Apr 23, 2022
Zhenhua Tan, Jingyu Ning, Kai Peng, Zhenche Xia, Danke Wu

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A Bhattacharyya Coefficient-Based Framework for Noise Model-Aware Random Walker Image Segmentation

Jun 02, 2022
Dominik Drees, Florian Eilers, Ang Bian, Xiaoyi Jiang

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Neurotoxin: Durable Backdoors in Federated Learning

Jun 12, 2022
Zhengming Zhang, Ashwinee Panda, Linyue Song, Yaoqing Yang, Michael W. Mahoney, Joseph E. Gonzalez, Kannan Ramchandran, Prateek Mittal

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AutoAI-TS: AutoAI for Time Series Forecasting

Mar 08, 2021
Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculin, Petros Zerfos

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Towards Safe, Real-Time Systems: Stereo vs Images and LiDAR for 3D Object Detection

Feb 25, 2022
Matthew Levine

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Characterizing the robustness of Bayesian adaptive experimental designs to active learning bias

May 27, 2022
Sabina J. Sloman, Daniel M. Oppenheimer, Stephen B. Broomell, Cosma Rohilla Shalizi

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Distributed Learning for Time-varying Networks: A Scalable Design

Jul 31, 2021
Jian Wang, Yourui Huangfu, Rong Li, Yiqun Ge, Jun Wang

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Matching options to tasks using Option-Indexed Hierarchical Reinforcement Learning

Jun 12, 2022
Kushal Chauhan, Soumya Chatterjee, Akash Reddy, Balaraman Ravindran, Pradeep Shenoy

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Mitigating Intra-Cell Pilot Contamination in Massive MIMO: A Rate Splitting Approach

Jun 15, 2022
Anup Mishra, Yijie Mao, Christo Kurisummoottil Thomas, Luca Sanguinetti, Bruno Clerckx

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