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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)

Multidimensional Residual Learning Based on Recurrent Neural Networks for Acoustic Modeling Interspeech 2016 Multi-Player Bandits – a Musical Chairs Approach ICML 2016 Multiple-Instance Learning from Distributions JMLR 2016 Multiple Kernel Learning with Data Augmentation ACML 2016 Multiple Output Regression with Latent Noise JMLR 2016 Multiple-Play Bandits in the Position-Based Model NeurIPS 2016 Multiscale Dictionary Learning: Non-Asymptotic Bounds and Robustness JMLR 2016 Multi-scale exploration of convex functions and bandit convex optimization COLT 2016 Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization CVPR 2016 Multistage Campaigning in Social Networks NeurIPS 2016 Multi-step learning and underlying structure in statistical models NeurIPS 2016 Multi-view Anomaly Detection via Robust Probabilistic Latent Variable Models NeurIPS 2016 Mutual Information Based Matching for Causal Inference with Observational Data JMLR 2016 Mutual information for symmetric rank-one matrix estimation: A proof of the replica formula NeurIPS 2016 Naturalness Judgement of L2 English Through Dubbing Practice Interspeech 2016 Natural-Parameter Networks: A Class of Probabilistic Neural Networks NeurIPS 2016 Nearly Optimal Classification for Semimetrics AISTATS 2016 Near Optimal Behavior via Approximate State Abstraction ICML 2016 Near-Optimal Smoothing of Structured Conditional Probability Matrices NeurIPS 2016 Needle-Match: Reliable Patch Matching Under High Uncertainty CVPR 2016 NESTT: A Nonconvex Primal-Dual Splitting Method for Distributed and Stochastic Optimization NeurIPS 2016 Network Requirements for Resource Disaggregation OSDI 2016 Neural Paraphrase Generation with Stacked Residual LSTM Networks COLING 2016 Neural Variational Inference for Text Processing ICML 2016 New Perspectives on k-Support and Cluster Norms JMLR 2016