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Statistical Learning

4076 directly classified papers

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Papers

Thompson Sampling for High-Dimensional Sparse Linear Contextual Bandits ICML 2023
PAC-Bayesian Learning of Optimization Algorithms AISTATS 2023
Random Features Model with General Convex Regularization: A Fine Grained Analysis with Precise Asymptotic Learning Curves AISTATS 2023
Rethinking Translation Memory Augmented Neural Machine Translation ACL 2023
Average case analysis of Lasso under ultra sparse conditions AISTATS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Invariant Representations with Stochastically Quantized Neural Networks AAAI 2023
Posterior Tracking Algorithm for Classification Bandits AISTATS 2023
Conformalized Unconditional Quantile Regression AISTATS 2023
Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023
Federated Asymptotics: a model to compare federated learning algorithms AISTATS 2023
Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023
Divergence-Based Domain Transferability for Zero-Shot Classification EACL 2023
Great Bibliographies as a Source of Data for the Humanities – NLP in the Analysis of Gender of Book Authors in German Countries and in Poland (1801-2021) EACL 2023
Algorithm-Dependent Bounds for Representation Learning of Multi-Source Domain Adaptation AISTATS 2023
DIET: Conditional independence testing with marginal dependence measures of residual information AISTATS 2023
Model Analysis & Evaluation for Ambiguous Question Answering ACL 2023
Probabilities of Causation: Role of Observational Data AISTATS 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Semiparametric Inference Using Fractional Posteriors JMLR 2023
Can a Prediction’s Rank Offer a More Accurate Quantification of Bias? A Case Study Measuring Sexism in Debiased Language Models IJCNLP 2023
Gradient-Informed Neural Network Statistical Robustness Estimation AISTATS 2023
Density Ratio Estimation and Neyman Pearson Classification with Missing Data AISTATS 2023
Tighter PAC-Bayes Generalisation Bounds by Leveraging Example Difficulty AISTATS 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction AAAI 2023