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Theory

4,955 papers

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Papers

Optimal decision-making with time-varying evidence reliability NIPS 2014
Graph Clustering With Missing Data: Convex Algorithms and Analysis NIPS 2014
On the Computational Efficiency of Training Neural Networks NIPS 2014
Deterministic Symmetric Positive Semidefinite Matrix Completion NIPS 2014
Optimal rates for k-NN density and mode estimation NIPS 2014
A framework for studying synaptic plasticity with neural spike train data NIPS 2014
A Residual Bootstrap for High-Dimensional Regression with Near Low-Rank Designs NIPS 2014
Simple MAP Inference via Low-Rank Relaxations NIPS 2014
Spectral Methods for Supervised Topic Models NIPS 2014
Learning with Fredholm Kernels NIPS 2014
Consistency of Spectral Partitioning of Uniform Hypergraphs under Planted Partition Model NIPS 2014
Fundamental Limits of Online and Distributed Algorithms for Statistical Learning and Estimation NIPS 2014
A statistical model for tensor PCA NIPS 2014
Provable Tensor Factorization with Missing Data NIPS 2014
Local Linear Convergence of Forward--Backward under Partial Smoothness NIPS 2014
Reducing the Rank in Relational Factorization Models by Including Observable Patterns NIPS 2014
On the Number of Linear Regions of Deep Neural Networks NIPS 2014
Sparsity and the Truncated $l^2$-norm AISTATS 2014
Efficient Distributed Topic Modeling with Provable Guarantees AISTATS 2014
Exploiting the Limits of Structure Learning via Inherent Symmetry AISTATS 2014
Algebraic Reconstruction Bounds and Explicit Inversion for Phase Retrieval at the Identifiability Threshold AISTATS 2014
PAC-Bayesian Collective Stability AISTATS 2014
Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence AISTATS 2014
To go deep or wide in learning? AISTATS 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods COLT 2014