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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)

Input Convex Neural Networks ICML 2017 Integer Linear Programming formulations in Natural Language Processing EACL 2017 Intelligent Belief State Sampling for Conformant Planning IJCAI 2017 Inter-Speaker Variability: Speaker Normalisation and Quantitative Estimation of Articulatory Invariants in Speech Production for French Interspeech 2017 Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning CVPR 2017 Introspective Classification with Convolutional Nets NeurIPS 2017 Introspective Evaluation of Perception Performance for Parameter Tuning without Ground Truth RSS 2017 Invariance and Stability of Deep Convolutional Representations NeurIPS 2017 Inverse Filtering for Hidden Markov Models NeurIPS 2017 Investigating Different Syntactic Context Types and Context Representations for Learning Word Embeddings EMNLP 2017 Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction Interspeech 2017 Investigating Scalability in Hierarchical Language Identification System Interspeech 2017 Is Input Sparsity Time Possible for Kernel Low-Rank Approximation? NeurIPS 2017 Is the Bellman residual a bad proxy? NeurIPS 2017 Iterative Machine Teaching ICML 2017 Iterative Optimal Preemphasis for Improved Glottal-Flow Estimation by Iterative Adaptive Inverse Filtering Interspeech 2017 Job Selection in a Network of Autonomous UAVs for Delivery of Goods RSS 2017 Joint Capped Norms Minimization for Robust Matrix Recovery IJCAI 2017 Joint Dimensionality Reduction and Metric Learning: A Geometric Take ICML 2017 Joint Discriminative Bayesian Dictionary and Classifier Learning CVPR 2017 Joint Optimization of Robot Design and Motion Parameters using the Implicit Function Theorem RSS 2017 Joint Training of Expanded End-to-End DNN for Text-Dependent Speaker Verification Interspeech 2017 KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs EMNLP 2017 k-Support and Ordered Weighted Sparsity for Overlapping Groups: Hardness and Algorithms NeurIPS 2017 Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks NeurIPS 2017