Learning Theory
6,809 papers
Papers per year
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126
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Papers
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model
NeurIPS 2022
On the Global Optimum Convergence of Momentum-based Policy Gradient
AISTATS 2022
On the Impact of Noises in Crowd-Sourced Data for Speech Translation
ACL 2022
On the Implicit Bias of Gradient Descent for Temporal Extrapolation
AISTATS 2022
On the Importance of Gradient Norm in PAC-Bayesian Bounds
NeurIPS 2022
On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games
ICML 2022
On the inability of Gaussian process regression to optimally learn compositional functions
NeurIPS 2022
On the inductive bias of neural networks for learning read-once DNFs
UAI 2022
On the Learning and Learnability of Quasimetrics
ICLR 2022
On the Learning of Non-Autoregressive Transformers
ICML 2022
On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations
NAACL 2022
On the Limits of Evaluating Embodied Agent Model Generalization Using Validation Sets
ACL 2022
On the non-universality of deep learning: quantifying the cost of symmetry
NeurIPS 2022
On the Optimality Gap of Warm-Started Hyperparameter Optimization
AutoML 2022
On the Optimal Memorization Power of ReLU Neural Networks
ICLR 2022
On the Optimization Landscape of Neural Collapse under MSE Loss: Global Optimality with Unconstrained Features
ICML 2022
On the Optimization of Margin Distribution
IJCAI 2022
On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization
AISTATS 2022
On the power of adaptivity in statistical adversaries
COLT 2022
On the probability–quality paradox in language generation
ACL 2022
On the Sample Complexity of Learning Infinite-horizon Discounted Linear Kernel MDPs
ICML 2022
On the Sample Complexity of Stability Constrained Imitation Learning
L4DC 2022
On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory
NeurIPS 2022
On the Spectral Bias of Convolutional Neural Tangent and Gaussian Process Kernels
NeurIPS 2022
On the Stability and Scalability of Node Perturbation Learning
NeurIPS 2022