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Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
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Papers (including subtopics)

ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 Zonotope Hit-and-run for Efficient Sampling from Projection DPPs ICML 2017 3D Reconstruction of Transparent Objects With Position-Normal Consistency CVPR 2016 A 50-Year Retrospective on Speech and Language Processing Interspeech 2016 A Bayesian method for reducing bias in neural representational similarity analysis NeurIPS 2016 A Bayesian model for joint word alignment and part-of-speech transfer COLING 2016 A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves MLHC 2016 A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors JMLR 2016 A Box-Constrained Approach for Hard Permutation Problems ICML 2016 A Brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning Without Human Intervention AutoML 2016 Accelerated Generative Models for 3D Point Cloud Data CVPR 2016 Accelerated Stochastic Gradient Descent for Minimizing Finite Sums AISTATS 2016 Accelerating Online Convex Optimization via Adaptive Prediction AISTATS 2016 Accelerating Stochastic Composition Optimization NeurIPS 2016 Accurate Robust and Efficient Error Estimation for Decision Trees ICML 2016 A Characterization of Linkage-Based Hierarchical Clustering JMLR 2016 Achieving budget-optimality with adaptive schemes in crowdsourcing NeurIPS 2016 A Closer Look at Adaptive Regret JMLR 2016 A Column Generation Bound Minimization Approach with PAC-Bayesian Generalization Guarantees AISTATS 2016 A Communication-Efficient Parallel Algorithm for Decision Tree NeurIPS 2016 A Comprehensive Linear Speedup Analysis for Asynchronous Stochastic Parallel Optimization from Zeroth-Order to First-Order NeurIPS 2016 A Consensus-Based Framework for Distributed Bundle Adjustment CVPR 2016 A Consistent Information Criterion for Support Vector Machines in Diverging Model Spaces JMLR 2016 A Consistent Regularization Approach for Structured Prediction NeurIPS 2016 A Constant-Factor Bi-Criteria Approximation Guarantee for k-means++ NeurIPS 2016