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Optimization & Theory

36,874 papers (3 classified directly here)

Subtopics

Optimization (14,983) Bayesian Inference (5,566) Learning Theory (5,334) Theory (4,955) Statistical Learning (4,117) Neural Network Optimization (3,649) Stochastic Processes (2,667) Loss Functions (1,162) Distributed Learning (1,135) Stochastic Methods (1,118) Online Algorithms (806) Statistics (684) Information Theory (318) Generalization (220) Sparse Optimization (158) Sample Complexity (99) Game Theory (30) Robust Optimization (17) Optimal Transport (14) Approximation Algorithms (10) Distributed Optimization (8) Convex Optimization (8)

Papers per year

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Papers (including subtopics)

Spectrally-normalized margin bounds for neural networks NIPS 2017
Boltzmann Exploration Done Right NIPS 2017
Tomography of the London Underground: a Scalable Model for Origin-Destination Data NIPS 2017
Gaussian process based nonlinear latent structure discovery in multivariate spike train data NIPS 2017
Multi-Objective Non-parametric Sequential Prediction NIPS 2017
Optimal Sample Complexity of M-wise Data for Top-K Ranking NIPS 2017
From which world is your graph NIPS 2017
An Empirical Bayes Approach to Optimizing Machine Learning Algorithms NIPS 2017
Multiscale Quantization for Fast Similarity Search NIPS 2017
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NIPS 2017
Perturbative Black Box Variational Inference NIPS 2017
Learning Populations of Parameters NIPS 2017
Diving into the shallows: a computational perspective on large-scale shallow learning NIPS 2017
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NIPS 2017
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NIPS 2017
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly NIPS 2017
Multi-view Matrix Factorization for Linear Dynamical System Estimation NIPS 2017
Stochastic Submodular Maximization: The Case of Coverage Functions NIPS 2017
Stochastic Approximation for Canonical Correlation Analysis NIPS 2017
Linear regression without correspondence NIPS 2017
Fast, Sample-Efficient Algorithms for Structured Phase Retrieval NIPS 2017
Hierarchical Methods of Moments NIPS 2017
A New Alternating Direction Method for Linear Programming NIPS 2017
Near Optimal Sketching of Low-Rank Tensor Regression NIPS 2017
Batch Renormalization: Towards Reducing Minibatch Dependence in Batch-Normalized Models NIPS 2017