|
Poster
|
Thu 9:00
|
Learning Operators with Coupled Attention
Georgios Kissas · Jacob Seidman · Leonardo Ferreira Guilhoto · Victor M. Preciado · George J. Pappas · Paris Perdikaris
|
|
|
Poster
|
|
Bayesian subset selection and variable importance for interpretable prediction and classification
Daniel R. Kowal
|
|
|
Poster
|
|
tntorch: Tensor Network Learning with PyTorch
Mikhail Usvyatsov · Rafael Ballester-Ripoll · Konrad Schindler
|
|
|
Poster
|
|
InterpretDL: Explaining Deep Models in PaddlePaddle
Xuhong Li · Haoyi Xiong · Xingjian Li · Xuanyu Wu · Zeyu Chen · Dejing Dou
|
|
|
Poster
|
Tue 9:00
|
Foolish Crowds Support Benign Overfitting
Niladri S. Chatterji · Philip Long
|
|
|
Poster
|
Tue 9:00
|
Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
Lilian Besson · Emilie Kaufmann · Odalric-Ambrym Maillard · Julien Seznec
|
|
|
Poster
|
Tue 14:00
|
Supervised Dimensionality Reduction and Visualization using Centroid-Encoder
Tomojit Ghosh · Michael Kirby
|
|
|
Poster
|
Thu 9:00
|
A Unified Statistical Learning Model for Rankings and Scores with Application to Grant Panel Review
Michael Pearce · Elena A. Erosheva
|
|
|
Poster
|
Wed 14:00
|
LSAR: Efficient Leverage Score Sampling Algorithm for the Analysis of Big Time Series Data
Ali Eshragh · Fred Roosta · Asef Nazari · Michael Mahoney
|
|
|
Poster
|
Thu 9:00
|
Rethinking Nonlinear Instrumental Variable Models through Prediction Validity
Chunxiao Li · Cynthia Rudin · Tyler H. McCormick
|
|
|
Poster
|
|
Distributed Learning of Finite Gaussian Mixtures
Qiong Zhang · Jiahua Chen
|
|
|
Poster
|
Tue 14:00
|
Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models
Subhabrata Majumdar · George Michailidis
|
|
