Statistical Learning
4,564 papers
Papers per year
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Papers
Estimating Example Difficulty Using Variance of Gradients
CVPR 2022
Estimating Functionals of the Out-of-Sample Error Distribution in High-Dimensional Ridge Regression
AISTATS 2022
Estimating Structural Disparities for Face Models
CVPR 2022
Estimating word co-occurrence probabilities from pretrained static embeddings using a log-bilinear model
ACL 2022
Estimation and inference on high-dimensional individualized treatment rule in observational data using split-and-pooled de-correlated score
JMLR 2022
Estimation of Local Average Treatment Effect by Data Combination
AAAI 2022
Evaluating high-order predictive distributions in deep learning
UAI 2022
Exact Community Recovery in Correlated Stochastic Block Models
COLT 2022
Exact Community Recovery over Signed Graphs
AISTATS 2022
Experimental Standards for Deep Learning in Natural Language Processing Research
EMNLP 2022
Exploiting Independent Instruments: Identification and Distribution Generalization
ICML 2022
Failure Prediction with Statistical Guarantees for Vision-Based Robot Control
RSS 2022
Fairness-Aware PAC Learning from Corrupted Data
JMLR 2022
Fairness Trade-Offs and Partial Debiasing
ACML 2022
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model
AAAI 2022
Fast and Robust Rank Aggregation against Model Misspecification
JMLR 2022
Faster Rates of Private Stochastic Convex Optimization
ALT 2022
Fast rates for noisy interpolation require rethinking the effect of inductive bias
ICML 2022
Feature Importance Explanations for Temporal Black-Box Models
AAAI 2022
Feature selection using e-values
ICML 2022
(f,Gamma)-Divergences: Interpolating between f-Divergences and Integral Probability Metrics
JMLR 2022
Finite-Sample Maximum Likelihood Estimation of Location
NeurIPS 2022
First-Order Convex Fitting and Its Application to Economics and Optimization
AAAI 2022
FITNESS: (Fine Tune on New and Similar Samples) to detect anomalies in streams with drift and outliers
ICML 2022
Fluctuations, Bias, Variance & Ensemble of Learners: Exact Asymptotics for Convex Losses in High-Dimension
ICML 2022