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Learning Theory

5,334 papers

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Papers

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time NIPS 2023
How do Minimum-Norm Shallow Denoisers Look in Function Space? NIPS 2023
On the Convergence of CART under Sufficient Impurity Decrease Condition NIPS 2023
From Tempered to Benign Overfitting in ReLU Neural Networks NIPS 2023
Understanding and Improving Ensemble Adversarial Defense NIPS 2023
A Competitive Algorithm for Agnostic Active Learning NIPS 2023
Efficient Hyper-parameter Optimization with Cubic Regularization NIPS 2023
Counterfactual Evaluation of Peer-Review Assignment Policies NIPS 2023
Bridging RL Theory and Practice with the Effective Horizon NIPS 2023
Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing NIPS 2023
Dynamic Regret of Adversarial Linear Mixture MDPs NIPS 2023
Going Beyond Linear Mode Connectivity: The Layerwise Linear Feature Connectivity NIPS 2023
Validated Image Caption Rating Dataset NIPS 2023
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits NIPS 2023
The Bayesian Stability Zoo NIPS 2023
Improving the Knowledge Gradient Algorithm NIPS 2023
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance NIPS 2023
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning NIPS 2023
On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training NIPS 2023
On the spectral bias of two-layer linear networks NIPS 2023
Lo-Hi: Practical ML Drug Discovery Benchmark NIPS 2023
A Unified Model and Dimension for Interactive Estimation NIPS 2023
Leveraging the two-timescale regime to demonstrate convergence of neural networks NIPS 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms NIPS 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods NIPS 2023