Session title: Supervised and unsupervised learning of complex data
Organizer: Junhui Wang (Citi U of HK)
Chair: Junhui Wang (Citi U of HK)
Time: June 4th, 11:00am-12:30pm
Location: VEC 405
Speech 1: Systems of partially linear …
Session 7: Recent Advances in Statistical Learning
Session title: Recent Advances in Statistical Learning
Organizer: Ming Yuan (Columbia)
Chair: Dong Xia (UCSD)
Time: June 4th, 11:00am-12:30pm
Location: VEC 404
Speech 1: Geometry of Optimization Landscapes and Implicit Regularization of Optimization Algorithms.
Speaker: Jason …
Session 6: Statistical methods of integrating -omics data
Session title: Statistical methods of integrating -omics data
Organizer: Wei, Ying (Columbia U)
Chair: X. Song (Mount Sinai)
Time: June 4th, 9:00-10:30am
Location: VEC 1403
Speech 1: A Statistical Framework for Leveraging Information across Multiple Traits …
Session 5: Statistical Inference in Clustering Problems
Session title: Statistical Inference in Clustering Problems
Organizer: Jacob Bien (Cornell)
Chair: Jacob Bien (Cornell)
Time: June 4th, 9:00-10:30am
Location: VEC 1402
Speech 1: Inference for variable clustering under correlation-like similarities
Speaker: Max G’Sell (CMU)
Abstract: …
Session 4: New methods for directed acyclic Gaussian graph and adaptive data analysis
Session title: New methods for directed acyclic Gaussian graph and adaptive data analysis
Organizer: Yichao Wu (UIC)
Chair: Weibin Mo (UNC)
Time: June 4th, 9:00-10:30am
Location: VEC 1302/1303
Speech 1: Sublinear-Time Adaptive Data Analysis
Speaker: Lev …
Session 3: Modern nonparametric statistics
Session title: Modern nonparametric statistics
Organizer: Richard Samworth (Cambridge)
Chair: Zhengling Qi (UNC)
Time: June 4th, 9:00-10:30am
Location: VEC 1202/1203
Speech 1: Regimes of label-noise determine the benefits of Active Learning
Speaker: Samory Kpotufe (Princeton)
Abstract: …
Session 2: High-dimensional inference: assumption-lean or assumption-laden?
Session title: High-dimensional inference: assumption-lean or assumption-laden?
Organizer: Ryan Tibshirani (CMU)
Chair: Jelena Bradic (UCSD)
Time: June 4th, 9:00-10:30am
Location: VEC 902/903
Speech 1: Inferential goals, targets, and principles in high-dimensional regression
Speaker: Todd Kuffner (Washington …
Session 1: High-dimensional Tensor Data Analysis
Session title: High-dimensional Tensor Data Analysis
Organizer: Xin “Henry” Zhang (Florida State U)
Chair: Xin “Henry” Zhang (Florida State U)
Time: June 4th, 9:00-10:30am
Location: VEC 404/405
Speech 1: Multilayer Tensor Factorization with Applications to Recommender …