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297 Results
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Poster
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Tue 9:00 |
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning Jiachen T. Wang · Saeed Mahloujifar · Shouda Wang · Ruoxi Jia · Prateek Mittal |
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Poster
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Tue 14:00 |
What's the Harm? Sharp Bounds on the Fraction Negatively Affected by Treatment Nathan Kallus |
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Poster
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Wed 9:00 |
A2: Efficient Automated Attacker for Boosting Adversarial Training Zhuoer Xu · Guanghui Zhu · Changhua Meng · shiwen cui · Zhenzhe Ying · Weiqiang Wang · Ming GU · Yihua Huang |
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Poster
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Wed 9:00 |
Neural Basis Models for Interpretability Filip Radenovic · Abhimanyu Dubey · Dhruv Mahajan |
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Poster
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Thu 14:00 |
Black-box coreset variational inference Dionysis Manousakas · Hippolyt Ritter · Theofanis Karaletsos |
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Tutorial
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Mon 14:00 |
Creative Culture and Machine Learning Negar Rostamzadeh · Cheng-Zhi Anna Huang · Mark Riedl |
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Poster
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Wed 14:00 |
Scalable Interpretability via Polynomials Abhimanyu Dubey · Filip Radenovic · Dhruv Mahajan |
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Poster
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Tue 9:00 |
Efficient Architecture Search for Diverse Tasks Junhong Shen · Misha Khodak · Ameet Talwalkar |
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Poster
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Thu 9:00 |
A Mean-Field Game Approach to Cloud Resource Management with Function Approximation Weichao Mao · Haoran Qiu · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Ravishankar Iyer · Tamer Basar |
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Poster
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Tue 14:00 |
GAMA: Generative Adversarial Multi-Object Scene Attacks Abhishek Aich · Calvin-Khang Ta · Akash Gupta · Chengyu Song · Srikanth Krishnamurthy · Salman Asif · Amit Roy-Chowdhury |
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Tutorial
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Mon 14:00 |
Data Compression with Machine Learning Karen Ullrich · Yibo Yang · Stephan Mandt |
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Poster
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Wed 9:00 |
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach Dennis Wei · Rahul Nair · Amit Dhurandhar · Kush Varshney · Elizabeth Daly · Moninder Singh |