Co-occurring keywords · papers mentioning both
Papers
Factor-analytic inverse regression for high-dimension, small-sample dimensionality reduction
ICML 2021
Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization
WACV 2021
Finding Concept-specific Biases in Form–Meaning Associations
NAACL 2021
Fine-grained Generalization Analysis of Structured Output Prediction
IJCAI 2021
Hardness of Identity Testing for Restricted Boltzmann Machines and Potts models
JMLR 2021
Hilbert Sinkhorn Divergence for Optimal Transport
CVPR 2021
How Well Generative Adversarial Networks Learn Distributions
JMLR 2021
Information-theoretic generalization bounds for black-box learning algorithms
NeurIPS 2021
Language Model Evaluation Beyond Perplexity
ACL 2021
Learning with invariances in random features and kernel models
COLT 2021
Learning with semi-definite programming: statistical bounds based on fixed point analysis and excess risk curvature
JMLR 2021
Model-Based Domain Generalization
NeurIPS 2021
Model-based metrics: Sample-efficient estimates of predictive model subpopulation performance
MLHC 2021
Modeling Semantics and Pragmatics of Spatial Prepositions via Hierarchical Common-Sense Primitives
ACL 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
ICML 2021
Online stochastic gradient descent on non-convex losses from high-dimensional inference
JMLR 2021
On the High Accuracy Limitation of Adaptive Property Estimation
AISTATS 2021
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
AISTATS 2021
On the Sample Complexity of Privately Learning Unbounded High-Dimensional Gaussians
ALT 2021
Out-of-Distribution Generalization in Kernel Regression
NeurIPS 2021
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
ICML 2021
Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance
ACL 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning
ICML 2021
Risk Monotonicity in Statistical Learning
NeurIPS 2021
Stability and Risk Bounds of Iterative Hard Thresholding
AISTATS 2021