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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

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

Product Split Trees CVPR 2017 Programming with a Differentiable Forth Interpreter ICML 2017 Projection-free Distributed Online Learning in Networks ICML 2017 Pronunciation Learning with RNN-Transducers Interspeech 2017 Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017 Provable Alternating Gradient Descent for Non-negative Matrix Factorization with Strong Correlations ICML 2017 Provably Optimal Algorithms for Generalized Linear Contextual Bandits ICML 2017 Provably Safe Robot Navigation with Obstacle Uncertainty RSS 2017 Prox-PDA: The Proximal Primal-Dual Algorithm for Fast Distributed Nonconvex Optimization and Learning Over Networks ICML 2017 Pytheas: Enabling Data-Driven Quality of Experience Optimization Using Group-Based Exploration-Exploitation NSDI 2017 Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes NeurIPS 2017 QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding NeurIPS 2017 Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes COLT 2017 Qualitative Differences in L3 Learners’ Neurophysiological Response to L1 versus L2 Transfer Interspeech 2017 Quantifying the accuracy of approximate diffusions and Markov chains AISTATS 2017 Query Complexity of Clustering with Side Information NeurIPS 2017 Query Conservative Extensions in Horn Description Logics with Inverse Roles IJCAI 2017 Radiometric Calibration for Internet Photo Collections CVPR 2017 Random Feature Expansions for Deep Gaussian Processes ICML 2017 Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees ICML 2017 Random Permutation Online Isotonic Regression NeurIPS 2017 Random projection design for scalable implicit smoothing of randomly observed stochastic processes AISTATS 2017 Random Projection Filter Bank for Time Series Data NeurIPS 2017 Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers IJCAI 2017 Rank Determination for Low-Rank Data Completion JMLR 2017