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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 09:00 AM -- 09:20 AM (KST)
Label Distribution Learning Machine
In Supervised Learning 3
Jing Wang · Xin Geng
[ Paper ]
Spotlight
Thu Jul 22 09:20 AM -- 09:25 AM (KST)
Representation Matters: Assessing the Importance of Subgroup Allocations in Training Data
In Supervised Learning 3
Esther Rolf · Theodora Worledge · Benjamin Recht · Michael Jordan
[ Paper ]
Spotlight
Thu Jul 22 09:25 AM -- 09:30 AM (KST)
Heterogeneous Risk Minimization
In Supervised Learning 3
Jiashuo Liu · Zheyuan Hu · Peng Cui · Bo Li · Zheyan Shen
[ Paper ]
Spotlight
Thu Jul 22 09:30 AM -- 09:35 AM (KST)
Optimizing Black-box Metrics with Iterative Example Weighting
In Supervised Learning 3
Gaurush Hiranandani · Jatin Mathur · Harikrishna Narasimhan · Mahdi Milani Fard · Sanmi Koyejo
[ Paper ]
Spotlight
Thu Jul 22 09:35 AM -- 09:40 AM (KST)
A theory of high dimensional regression with arbitrary correlations between input features and target functions: sample complexity, multiple descent curves and a hierarchy of phase transitions
In Supervised Learning 3
Gabriel Mel · Surya Ganguli
[ Paper ]
Spotlight
Thu Jul 22 09:40 AM -- 09:45 AM (KST)
How Does Loss Function Affect Generalization Performance of Deep Learning? Application to Human Age Estimation
In Supervised Learning 3
Ali Akbari · Muhammad Awais · Manijeh Bashar · Josef Kittler
[ Paper ]
Spotlight
Thu Jul 22 09:45 AM -- 09:50 AM (KST)
Implicit rate-constrained optimization of non-decomposable objectives
In Supervised Learning 3
Abhishek Kumar · Harikrishna Narasimhan · Andrew Cotter
[ Paper ]
Q&A
Thu Jul 22 09:50 AM -- 09:55 AM (KST)
Q&A
In Supervised Learning 3