conftrace_

excess risk

66 papers

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Co-occurring keywords

statistical learning (351) generalization bound (652) linear regression (282) risk bound (71) benign overfitting (35) empirical risk minimization (352) learning theory (519) differential privacy (1016) convergence rate (607) stochastic gradient descent (1091)

Papers

Achieving Minimax Rates in Pool-Based Batch Active Learning ICML 2022
Randomized Sketches for Clustering: Fast and Optimal Kernel $k$-Means NIPS 2022
Spectral risk-based learning using unbounded losses AISTATS 2022
Foolish Crowds Support Benign Overfitting JMLR 2022
Label differential privacy via clustering AISTATS 2022
Near-optimal rate of consistency for linear models with missing values ICML 2022
Stability & Generalisation of Gradient Descent for Shallow Neural Networks without the Neural Tangent Kernel NIPS 2021
Kernel-convoluted Deep Neural Networks with Data Augmentation AAAI 2021
Sharper Generalization Bounds for Clustering ICML 2021
Stochastic Online Optimization using Kalman Recursion JMLR 2021
Analyzing the tree-layer structure of Deep Forests ICML 2021
Stability and Deviation Optimal Risk Bounds with Convergence Rate $O(1/n)$ NIPS 2021
On Empirical Bayes Variational Autoencoder: An Excess Risk Bound COLT 2021
Risk Bounds and Rademacher Complexity in Batch Reinforcement Learning ICML 2021
Fast Rates for Structured Prediction COLT 2021
Exponential Weights Algorithms for Selective Learning COLT 2021
Surrogate Regret Bounds for Polyhedral Losses NIPS 2021
Benign Overfitting of Constant-Stepsize SGD for Linear Regression COLT 2021
Failures of Model-dependent Generalization Bounds for Least-norm Interpolation JMLR 2021
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification ICML 2020
Statistical Learning with a Nuisance Component (Extended Abstract) IJCAI 2020
A Statistical Learning Approach to Modal Regression JMLR 2020
The Statistical Complexity of Early-Stopped Mirror Descent NIPS 2020
The Implicit Regularization of Stochastic Gradient Flow for Least Squares ICML 2020
In search of robust measures of generalization NIPS 2020