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(8 events)   Time zone: Conference local time zone  
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The 2021 schedule is still incomplete
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Oral
Thu Jul 22 04:00 AM -- 04:20 AM (CEST)
Analysis of stochastic Lanczos quadrature for spectrum approximation
In Learning Theory 13
Tyler Chen · Thomas Trogdon · Shashanka Ubaru
[ Paper ]
Spotlight
Thu Jul 22 04:20 AM -- 04:25 AM (CEST)
Sample-Optimal PAC Learning of Halfspaces with Malicious Noise
In Learning Theory 13
Jie Shen
[ Paper ]
Spotlight
Thu Jul 22 04:25 AM -- 04:30 AM (CEST)
On Robust Mean Estimation under Coordinate-level Corruption
In Learning Theory 13
Zifan Liu · Jong Ho Park · Theo Rekatsinas · Christos Tzamos
[ Paper ]
Spotlight
Thu Jul 22 04:30 AM -- 04:35 AM (CEST)
Multidimensional Scaling: Approximation and Complexity
In Learning Theory 13
Erik Demaine · Adam C Hesterberg · Frederic Koehler · Jayson Lynch · John C Urschel
[ Paper ]
Spotlight
Thu Jul 22 04:35 AM -- 04:40 AM (CEST)
Toward Better Generalization Bounds with Locally Elastic Stability
In Learning Theory 13
Zhun Deng · Hangfeng He · Weijie Su
[ Paper ]
Spotlight
Thu Jul 22 04:40 AM -- 04:45 AM (CEST)
Adaptive Newton Sketch: Linear-time Optimization with Quadratic Convergence and Effective Hessian Dimensionality
In Learning Theory 13
Jonathan Lacotte · Yifei Wang · Mert Pilanci
[ Paper ]
Spotlight
Thu Jul 22 04:45 AM -- 04:50 AM (CEST)
Interpreting and Disentangling Feature Components of Various Complexity from DNNs
In Learning Theory 13
Jie Ren · Mingjie Li · Zexu Liu · Quanshi Zhang
[ Paper ]
Q&A
Thu Jul 22 04:50 AM -- 04:55 AM (CEST)
Q&A
In Learning Theory 13