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Poster
Wed 11:00 Kermut: Composite kernel regression for protein variant effects
Peter Mørch Groth · Mads Kerrn · Lars Olsen · Jesper Salomon · Wouter Boomsma
Poster
Fri 16:30 REBEL: Reinforcement Learning via Regressing Relative Rewards
Zhaolin Gao · Jonathan Chang · Wenhao Zhan · Owen Oertell · Gokul Swamy · Kianté Brantley · Thorsten Joachims · Drew Bagnell · Jason Lee · Wen Sun
Poster
Thu 11:00 The Prevalence of Neural Collapse in Neural Multivariate Regression
George Andriopoulos · Zixuan Dong · Li Guo · Zifan Zhao · Keith Ross
Poster
Thu 16:30 RMLR: Extending Multinomial Logistic Regression into General Geometries
Ziheng Chen · Yue Song · Rui Wang · Xiaojun Wu · Nicu Sebe
Poster
Wed 16:30 Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models
Aref Rekavandi · Farhad Farokhi · Olga Ohrimenko · Benjamin Rubinstein
Poster
Wed 16:30 RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang · Szu-Wei Fu · Yu Tsao
Poster
Wed 16:30 Stochastic Optimization Algorithms for Instrumental Variable Regression with Streaming Data
Xuxing Chen · Abhishek Roy · Yifan Hu · Krishnakumar Balasubramanian
Poster
Wed 16:30 Model Collapse Demystified: The Case of Regression
Elvis Dohmatob · Yunzhen Feng · Julia Kempe
Poster
Wed 11:00 Nonparametric Instrumental Variable Regression through Stochastic Approximate Gradients
Yuri Fonseca · Caio Peixoto · Yuri Saporito
Poster
Wed 11:00 Linear Regression using Heterogeneous Data Batches
Ayush Jain · Rajat Sen · Weihao Kong · Abhimanyu Das · Alon Orlitsky
Poster
Thu 16:30 Overfitting Behaviour of Gaussian Kernel Ridgeless Regression: Varying Bandwidth or Dimensionality
Marko Medvedev · Gal Vardi · Nati Srebro
Poster
Wed 11:00 RegExplainer: Generating Explanations for Graph Neural Networks in Regression Tasks
Jiaxing Zhang · Zhuomin Chen · hao mei · Longchao Da · Dongsheng Luo · Hua Wei