firstbacksecondback
30 Results
|
Poster
|
Wed 8:45 |
Demographic Parity Constrained Minimax Optimal Regression under Linear Model Kazuto Fukuchi · Jun Sakuma |
|
|
Poster
|
Wed 15:00 |
When can Regression-Adjusted Control Variate Help? Rare Events, Sobolev Embedding and Minimax Optimality Jose Blanchet · Haoxuan Chen · Yiping Lu · Yiping Lu · Lexing Ying |
|
|
Poster
|
Thu 15:00 |
Non-Stationary Bandits with Auto-Regressive Temporal Dependency Qinyi Chen · Negin Golrezaei · Djallel Bouneffouf |
|
|
Poster
|
Tue 15:15 |
The Exact Sample Complexity Gain from Invariances for Kernel Regression Behrooz Tahmasebi · Stefanie Jegelka |
|
|
Poster
|
Tue 8:45 |
Regularization properties of adversarially-trained linear regression Antonio Ribeiro · Dave Zachariah · Francis Bach · Thomas Schön |
|
|
Poster
|
Tue 8:45 |
Feature Adaptation for Sparse Linear Regression Jonathan Kelner · Frederic Koehler · Raghu Meka · Dhruv Rohatgi |
|
|
Workshop
|
GFN-SR: Symbolic Regression with Generative Flow Networks Sida Li · Ioana Marinescu · Sebastian Musslick |
||
|
Poster
|
Tue 8:45 |
Selective Sampling and Imitation Learning via Online Regression Ayush Sekhari · Karthik Sridharan · Wen Sun · Runzhe Wu |
|
|
Poster
|
Thu 8:45 |
A Theoretical Analysis of the Test Error of Finite-Rank Kernel Ridge Regression Tin Sum Cheng · Aurelien Lucchi · Anastasis Kratsios · Ivan Dokmanić · David Belius |
|
|
Workshop
|
DspGNN: Bringing Spectral Design to Discrete Time Dynamic Graph Neural Networks for Edge Regression Leshanshui Yang · Clement Chatelain · Sébastien Adam |
||
|
Poster
|
Thu 15:00 |
Network Regression with Graph Laplacians Yidong Zhou · Hans-Georg Müller |
|
|
Workshop
|
Semi-Supervised Graph Imbalanced Regression Gang Liu · Tong Zhao · Eric Inae · Tengfei Luo · Meng Jiang |