conftrace_

Classification

15,805 papers

Papers per year

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26
134
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1678
1390
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Papers

Robust and Private Learning of Halfspaces AISTATS 2021
Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation AISTATS 2021
Stability and Risk Bounds of Iterative Hard Thresholding AISTATS 2021
Wasserstein Random Forests and Applications in Heterogeneous Treatment Effects AISTATS 2021
Online probabilistic label trees AISTATS 2021
CONTRA: Contrarian statistics for controlled variable selection AISTATS 2021
Exponential Convergence Rates of Classification Errors on Learning with SGD and Random Features AISTATS 2021
The Teaching Dimension of Kernel Perceptron AISTATS 2021
Selective Classification via One-Sided Prediction AISTATS 2021
Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021
The Multiple Instance Learning Gaussian Process Probit Model AISTATS 2021
Semi-Supervised Aggregation of Dependent Weak Supervision Sources With Performance Guarantees AISTATS 2021
Density of States Estimation for Out of Distribution Detection AISTATS 2021
Fair for All: Best-effort Fairness Guarantees for Classification AISTATS 2021
Good Classifiers are Abundant in the Interpolating Regime AISTATS 2021
A Theoretical Characterization of Semi-supervised Learning with Self-training for Gaussian Mixture Models AISTATS 2021
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits AISTATS 2021
Robust Learning under Strong Noise via SQs AISTATS 2021
Entropy Partial Transport with Tree Metrics: Theory and Practice AISTATS 2021
Bayesian Active Learning by Soft Mean Objective Cost of Uncertainty AISTATS 2021
Hidden Cost of Randomized Smoothing AISTATS 2021
Stochastic Top-$K$ Subset Bandits with Linear Space and Non-Linear Feedback ALT 2021
Testing Product Distributions: A Closer Look ALT 2021
Learning and Testing Irreducible Markov Chains via the $k$-Cover Time ALT 2021
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound ALT 2021