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15,805 papers

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Papers

On the Capacity Limits of Privileged ERM AISTATS 2023
Classification of Adolescents’ Risky Behavior in Instant Messaging Conversations AISTATS 2023
Fair learning with Wasserstein barycenters for non-decomposable performance measures AISTATS 2023
AUC-based Selective Classification AISTATS 2023
Learning Constrained Structured Spaces with Application to Multi-Graph Matching AISTATS 2023
Analysis of Catastrophic Forgetting for Random Orthogonal Transformation Tasks in the Overparameterized Regime AISTATS 2023
Squeeze All: Novel Estimator and Self-Normalized Bound for Linear Contextual Bandits AISTATS 2023
Generative Oversampling for Imbalanced Data via Majority-Guided VAE AISTATS 2023
Mediated Uncoupled Learning and Validation with Bregman Divergences: Loss Family with Maximal Generality AISTATS 2023
Privacy-preserving Sparse Generalized Eigenvalue Problem AISTATS 2023
Smoothly Giving up: Robustness for Simple Models AISTATS 2023
TabLLM: Few-shot Classification of Tabular Data with Large Language Models AISTATS 2023
A Contrastive Approach to Online Change Point Detection AISTATS 2023
Variational Boosted Soft Trees AISTATS 2023
Heavy Sets with Applications to Interpretable Machine Learning Diagnostics AISTATS 2023
Transport Reversible Jump Proposals AISTATS 2023
Two-Sample Tests for Inhomogeneous Random Graphs in $L_r$ Norm: Optimality and Asymptotics AISTATS 2023
Differentiable Change-point Detection With Temporal Point Processes AISTATS 2023
Thresholded linear bandits AISTATS 2023
Unifying local and global model explanations by functional decomposition of low dimensional structures AISTATS 2023
On double-descent in uncertainty quantification in overparametrized models AISTATS 2023
Improved Bound on Generalization Error of Compressed KNN Estimator AISTATS 2023
Fast Feature Selection with Fairness Constraints AISTATS 2023
On the Consistency Rate of Decision Tree Learning Algorithms AISTATS 2023
The Role of Codeword-to-Class Assignments in Error-Correcting Codes: An Empirical Study AISTATS 2023