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Statistical Learning

4,076 papers

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Papers

Generalization and Representational Limits of Graph Neural Networks ICML 2020
Generalisation error in learning with random features and the hidden manifold model ICML 2020
A Distributional Framework For Data Valuation ICML 2020
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent ICML 2020
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks ICML 2020
Learning the Stein Discrepancy for Training and Evaluating Energy-Based Models without Sampling ICML 2020
Robust Learning with the Hilbert-Schmidt Independence Criterion ICML 2020
Data Amplification: Instance-Optimal Property Estimation ICML 2020
Minimax Rate for Learning From Pairwise Comparisons in the BTL Model ICML 2020
Towards Non-Parametric Drift Detection via Dynamic Adapting Window Independence Drift Detection (DAWIDD) ICML 2020
Learning Mixtures of Graphs from Epidemic Cascades ICML 2020
Optimal Robust Learning of Discrete Distributions from Batches ICML 2020
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model ICML 2020
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation ICML 2020
Statistically Efficient Off-Policy Policy Gradients ICML 2020
Feature Noise Induces Loss Discrepancy Across Groups ICML 2020
Uniform Convergence of Rank-weighted Learning ICML 2020
Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics ICML 2020
Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation ICML 2020
Understanding the Curse of Horizon in Off-Policy Evaluation via Conditional Importance Sampling ICML 2020
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors ICML 2020
Learning Deep Kernels for Non-Parametric Two-Sample Tests ICML 2020
Fast and Consistent Learning of Hidden Markov Models by Incorporating Non-Consecutive Correlations ICML 2020
The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture ICML 2020