Regression
Boosted Sparse and Low-Rank Tensor Regression
Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang
Neural Information Processing Systems http://nips.cc/
Estimating Learnability in the Sublinear Data Regime
Neural Information Processing Systems http://nips.cc/
Data Selection for Language Models via Importance Resampling
Selecting a suitable pretraining dataset is crucial for both general-domain (e.g., GPT -
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus, Xiaojie Mao, Madeleine Udell
Neural Information Processing Systems http://nips.cc/
The Impact of Regularization on High-dimensional Logistic Regression
Fariborz Salehi, Ehsan Abbasi, Babak Hassibi
Logistic regression is commonly used for modeling dichotomous outcomes.
Sparse PCA from Sparse Linear Regression
Guy Bresler, Sung Min Park, Madalina Persu
SLR, but an explicit connection between the two had not been made.
Computing Full Conformal Prediction Set with Approximate Homotopy
Eugene Ndiaye, Ichiro Takeuchi
If you are predicting the labely of a new object withหy, how confident are you that y = หy?
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom, Anupam Datta, Matt Fredrikson
Neural Information Processing Systems http://nips.cc/
