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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)

Smoothing Method for Approximate Extensive-Form Perfect Equilibrium IJCAI 2017 Sobolev Training for Neural Networks NeurIPS 2017 Social Attractiveness in Dialogs Interspeech 2017 Social Signal Detection in Spontaneous Dialogue Using Bidirectional LSTM-CTC Interspeech 2017 Soft-Bayes: Prod for Mixtures of Experts with Log-Loss ALT 2017 Soft-DTW: a Differentiable Loss Function for Time-Series ICML 2017 Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations NeurIPS 2017 Solving Most Systems of Random Quadratic Equations NeurIPS 2017 Source-Side Left-to-Right or Target-Side Left-to-Right? An Empirical Comparison of Two Phrase-Based Decoding Algorithms EMNLP 2017 Sparse Accelerated Exponential Weights AISTATS 2017 Sparse Communication for Distributed Gradient Descent EMNLP 2017 Sparse + Group-Sparse Dirty Models: Statistical Guarantees without Unreasonable Conditions and a Case for Non-Convexity ICML 2017 Sparse Non-Negative Matrix Language Modeling: Maximum Entropy Flexibility on the Cheap Interspeech 2017 Spatial Decompositions for Large Scale SVMs AISTATS 2017 Spatio-Temporal Self-Organizing Map Deep Network for Dynamic Object Detection From Videos CVPR 2017 Speaking Style Conversion from Normal to Lombard Speech Using a Glottal Vocoder and Bayesian GMMs Interspeech 2017 Spectral Learning from a Single Trajectory under Finite-State Policies ICML 2017 Spectrally-normalized margin bounds for neural networks NeurIPS 2017 Spectral Methods for Correlated Topic Models AISTATS 2017 Speech Enhancement Based on Harmonic Estimation Combined with MMSE to Improve Speech Intelligibility for Cochlear Implant Recipients Interspeech 2017 Speech Enhancement Using Bayesian Wavenet Interspeech 2017 Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization NeurIPS 2017 Speeding up Reinforcement Learning-based Information Extraction Training using Asynchronous Methods EMNLP 2017 Spherical Structured Feature Maps for Kernel Approximation ICML 2017 Square Hellinger Subadditivity for Bayesian Networks and its Applications to Identity Testing COLT 2017