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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)

Efficient Sampling for k-Determinantal Point Processes AISTATS 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Streaming Kernel Principal Component Analysis AISTATS 2016
Back to the Future: Radial Basis Function Networks Revisited AISTATS 2016
Loss Bounds and Time Complexity for Speed Priors AISTATS 2016
Randomization and The Pernicious Effects of Limited Budgets on Auction Experiments AISTATS 2016
Spectral M-estimation with Applications to Hidden Markov Models AISTATS 2016
Chained Gaussian Processes AISTATS 2016
Supervised Neighborhoods for Distributed Nonparametric Regression AISTATS 2016
Global Convergence of a Grassmannian Gradient Descent Algorithm for Subspace Estimation AISTATS 2016
Online and Distributed Bayesian Moment Matching for Parameter Learning in Sum-Product Networks AISTATS 2016
Mondrian Forests for Large-Scale Regression when Uncertainty Matters AISTATS 2016
Online (and Offline) Robust PCA: Novel Algorithms and Performance Guarantees AISTATS 2016
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity COLING 2016
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words COLING 2016
Asynchronous Parallel Learning for Neural Networks and Structured Models with Dense Features COLING 2016
A General Optimization Framework for Multi-Document Summarization Using Genetic Algorithms and Swarm Intelligence COLING 2016
A Hybrid Deep Learning Architecture for Sentiment Analysis COLING 2016
A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016
Extending the Use of Adaptor Grammars for Unsupervised Morphological Segmentation of Unseen Languages COLING 2016
Product Review Summarization by Exploiting Phrase Properties COLING 2016
Modeling topic dependencies in semantically coherent text spans with copulas COLING 2016
D-GloVe: A Feasible Least Squares Model for Estimating Word Embedding Densities COLING 2016
Representation and Learning of Temporal Relations COLING 2016
Interactive Attention for Neural Machine Translation COLING 2016