Co-occurring keywords · papers mentioning both
Papers
ℓ_1-regression with Heavy-tailed Distributions
NeurIPS 2018
Adversarial Regression with Multiple Learners
ICML 2018
Amrita_student at SemEval-2018 Task 1: Distributed Representation of Social Media Text for Affects in Tweets
SemEval 2018
A Robust Learning Approach for Regression Models Based on Distributionally Robust Optimization
JMLR 2018
Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task
NAACL 2018
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models
JMLR 2018
Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task
NAACL 2018
Detecting non-causal artifacts in multivariate linear regression models
ICML 2018
Estimating Learnability in the Sublinear Data Regime
NeurIPS 2018
High Dimensional Linear Regression using Lattice Basis Reduction
NeurIPS 2018
Hunting for Discriminatory Proxies in Linear Regression Models
NeurIPS 2018
Leveraged volume sampling for linear regression
NeurIPS 2018
Model-based targeted dimensionality reduction for neuronal population data
NeurIPS 2018
On b-bit Min-wise Hashing for Large-scale Regression and Classification with Sparse Data
JMLR 2018
Optimal Subsampling with Influence Functions
NeurIPS 2018
Reverse Iterative Volume Sampling for Linear Regression
JMLR 2018
Subsampling for Ridge Regression via Regularized Volume Sampling
AISTATS 2018
Subspace Embedding and Linear Regression with Orlicz Norm
ICML 2018
Vowel Space as a Tool to Evaluate Articulation Problems
Interspeech 2018
Weighted SGD for ℓ_p Regression with Randomized Preconditioning
JMLR 2018
Accuracy First: Selecting a Differential Privacy Level for Accuracy Constrained ERM
NeurIPS 2017
Adaptively Unified Semi-supervised Learning for Cross-Modal Retrieval
IJCAI 2017
Best Response Regression
NeurIPS 2017
Computationally Efficient Robust Sparse Estimation in High Dimensions
COLT 2017
Consistent Robust Regression
NeurIPS 2017