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theoretical analysis

97 papers

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neural network (6616) learning theory (519) neural network optimization (1293) generative model (2892) attention mechanism (4001) representation learning (6206) language model (4599) transformer architecture (1560) gradient descent (1144) recurrent neural network (1790)

Papers

Theoretical Analysis of Efficiency and Robustness of Softmax and Gap-Increasing Operators in Reinforcement Learning AISTATS 2019
Foundations of Sequence-to-Sequence Modeling for Time Series AISTATS 2019
A Theory of State Abstraction for Reinforcement Learning AAAI 2019
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice NIPS 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations ICML 2018
Learning One Convolutional Layer with Overlapping Patches ICML 2018
On the Cost Complexity of Crowdsourcing IJCAI 2018
Failures of Gradient-Based Deep Learning ICML 2017
Optimal Architectures in a Solvable Model of Deep Networks NIPS 2016
Optimal Rates for Random Fourier Features NIPS 2015
On the Accuracy of Self-Normalized Log-Linear Models NIPS 2015
Incremental Clustering: The Case for Extra Clusters NIPS 2014
Convex Optimization Procedure for Clustering: Theoretical Revisit NIPS 2014
Clustering Oligarchies AISTATS 2013
Mixing Properties of Conditional Markov Chains with Unbounded Feature Functions NIPS 2012
Generalization Bounds for Domain Adaptation NIPS 2012
A Linear Time Active Learning Algorithm for Link Classification NIPS 2012
Multiclass Learning Approaches: A Theoretical Comparison with Implications NIPS 2012
Domain Adaptation with Multiple Sources NIPS 2008
The Value of Labeled and Unlabeled Examples when the Model is Imperfect NIPS 2007
Theoretical Analysis of Learning with Reward-Modulated Spike-Timing-Dependent Plasticity NIPS 2007
Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons NIPS 2007