← Optimization & Theory
Machine Learning › Optimization & Theory ›

Learning Theory

5312 directly classified papers

Papers per year

Papers

Maximum likelihood estimation in Gaussian process regression is ill-posed JMLR 2023
Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation ICML 2023
How does the task complexity of masked pretraining objectives affect downstream performance? ACL 2023
Predictive Flows for Faster Ford-Fulkerson ICML 2023
Confidence Intervals and Hypothesis Testing for High-dimensional Quantile Regression: Convolution Smoothing and Debiasing JMLR 2023
Are Gaussian Data All You Need? The Extents and Limits of Universality in High-Dimensional Generalized Linear Estimation ICML 2023
Optimal Arms Identification with Knapsacks ICML 2023
ID and OOD Performance Are Sometimes Inversely Correlated on Real-world Datasets NIPS 2023
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption JMLR 2023
Bandits with Knapsacks: Advice on Time-Varying Demands ICML 2023
Concentration analysis of multivariate elliptic diffusions JMLR 2023
Replicability in Reinforcement Learning NIPS 2023
Randomness Is the Root of All Evil: More Reliable Evaluation of Deep Active Learning WACV 2023
Agnostically Learning Single-Index Models using Omnipredictors NIPS 2023
A Path to Simpler Models Starts With Noise NIPS 2023
SQ Lower Bounds for Non-Gaussian Component Analysis with Weaker Assumptions NIPS 2023
Adversarially Robust Learning with Uncertain Perturbation Sets NIPS 2023
Finite-Time Logarithmic Bayes Regret Upper Bounds NIPS 2023
Grammar-based Decoding for Improved Compositional Generalization in Semantic Parsing ACL 2023
Quantitative Universal Approximation Bounds for Deep Belief Networks ICML 2023
Uniform-in-Time Wasserstein Stability Bounds for (Noisy) Stochastic Gradient Descent NIPS 2023
Compositional Generalization from First Principles NIPS 2023
Sequential Changepoint Detection via Backward Confidence Sequences ICML 2023
Tight and fast generalization error bound of graph embedding in metric space ICML 2023
$H$-Consistency Bounds: Characterization and Extensions NIPS 2023