conftrace_
← Optimization & Theory
Machine Learning › Optimization & Theory ›

Learning Theory

5,334 papers

Papers per year

17
66
123
466
307
'05
'10
'15
'20
'25

Papers

Feasible Arm Identification ICML 2018
An Alternative View: When Does SGD Escape Local Minima? ICML 2018
Generalization without Systematicity: On the Compositional Skills of Sequence-to-Sequence Recurrent Networks ICML 2018
On the Spectrum of Random Features Maps of High Dimensional Data ICML 2018
The Dynamics of Learning: A Random Matrix Approach ICML 2018
Towards Black-box Iterative Machine Teaching ICML 2018
Open Category Detection with PAC Guarantees ICML 2018
The Power of Interpolation: Understanding the Effectiveness of SGD in Modern Over-parametrized Learning ICML 2018
Bounds on the Approximation Power of Feedforward Neural Networks ICML 2018
Which Training Methods for GANs do actually Converge? ICML 2018
Dropout Training, Data-dependent Regularization, and Generalization Bounds ICML 2018
On Learning Sparsely Used Dictionaries from Incomplete Samples ICML 2018
Do Outliers Ruin Collaboration? ICML 2018
Tight Regret Bounds for Bayesian Optimization in One Dimension ICML 2018
Bounding and Counting Linear Regions of Deep Neural Networks ICML 2018
Decoupling Gradient-Like Learning Rules from Representations ICML 2018
Least-Squares Temporal Difference Learning for the Linear Quadratic Regulator ICML 2018
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks ICML 2018
Probably Approximately Metric-Fair Learning ICML 2018
Problem Dependent Reinforcement Learning Bounds Which Can Identify Bandit Structure in MDPs ICML 2018
Understanding Generalization and Optimization Performance of Deep CNNs ICML 2018
Neural Networks for Predicting Algorithm Runtime Distributions IJCAI 2018
On the Cost Complexity of Crowdsourcing IJCAI 2018
On the Efficiency of Data Collection for Crowdsourced Classification IJCAI 2018
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks IJCAI 2018