Statistical Learning
4,564 papers
Papers per year
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Papers
Tighter Expected Generalization Error Bounds via Wasserstein Distance
NeurIPS 2021
Tighter Risk Certificates for Neural Networks
JMLR 2021
Tight sampling and discarding bounds for scenario programs with an arbitrary number of removed samples
L4DC 2021
To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation
EMNLP 2021
Toward a General Theory of Online Selective Sampling: Trading Off Mistakes and Queries
AISTATS 2021
Toward Better Generalization Bounds with Locally Elastic Stability
ICML 2021
Toward Nearly-Zero-Error Sketching via Compressive Sensing
NSDI 2021
Towards a Unified Analysis of Random Fourier Features
JMLR 2021
Towards a Unified Information-Theoretic Framework for Generalization
NeurIPS 2021
Towards Context-Agnostic Learning Using Synthetic Data
NeurIPS 2021
Towards Document-Level Human MT Evaluation: On the Issues of Annotator Agreement, Effort and Misevaluation
EACL 2021
Towards Flexible Device Participation in Federated Learning
AISTATS 2021
Towards More Fine-grained and Reliable NLP Performance Prediction
EACL 2021
Towards Practical Mean Bounds for Small Samples
ICML 2021
Towards Tight Bounds on the Sample Complexity of Average-reward MDPs
ICML 2021
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
ICML 2021
Tune It the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density
ICCV 2021
Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments
Interspeech 2021
Uncovering Latent Biases in Text: Method and Application to Peer Review
AAAI 2021
Understanding the failure modes of out-of-distribution generalization
ICLR 2021
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
NeurIPS 2021
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering
NeurIPS 2021
Uniform Consistency of Cross-Validation Estimators for High-Dimensional Ridge Regression
AISTATS 2021
Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting
NeurIPS 2021
Universal consistency and rates of convergence of multiclass prototype algorithms in metric spaces
JMLR 2021