Co-occurring keywords · papers mentioning both
Papers
Consistent regression when oblivious outliers overwhelm
ICML 2021
Differentially Private Model Personalization
NeurIPS 2021
Efficient Computation and Analysis of Distributional Shapley Values
AISTATS 2021
Efficient Designs Of SLOPE Penalty Sequences In Finite Dimension
AISTATS 2021
EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories
EACL 2021
Failures of Model-dependent Generalization Bounds for Least-norm Interpolation
JMLR 2021
Few-Shot Learning via Learning the Representation, Provably
ICLR 2021
Householder Sketch for Accurate and Accelerated Least-Mean-Squares Solvers
ICML 2021
How Data Augmentation affects Optimization for Linear Regression
NeurIPS 2021
Improving KernelSHAP: Practical Shapley Value Estimation Using Linear Regression
AISTATS 2021
Knocking in the Game of Gin Rummy
AAAI 2021
Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions
AISTATS 2021
Linear Regression over Networks with Communication Guarantees
L4DC 2021
Meta-learning with negative learning rates
ICLR 2021
Model-sharing Games: Analyzing Federated Learning Under Voluntary Participation
AAAI 2021
Multiple Descent: Design Your Own Generalization Curve
NeurIPS 2021
Near-Optimal Linear Regression under Distribution Shift
ICML 2021
Neuron Matching in C. elegans With Robust Approximate Linear Regression Without Correspondence
WACV 2021
No-regret Algorithms for Capturing Events in Poisson Point Processes
ICML 2021
Online A-Optimal Design and Active Linear Regression
ICML 2021
Online Forgetting Process for Linear Regression Models
AISTATS 2021
On Optimal Interpolation in Linear Regression
NeurIPS 2021
Optimal Regularization can Mitigate Double Descent
ICLR 2021
Provable Meta-Learning of Linear Representations
ICML 2021
Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance
ACL 2021