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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)

Differentiation of Blackbox Combinatorial Solvers ICLR 2020 DiffTaichi: Differentiable Programming for Physical Simulation ICLR 2020 Dilated Convolutional Attention Network for Medical Code Assignment from Clinical Text EMNLP 2020 Dimension-Free Bounds for Chasing Convex Functions COLT 2020 DINO: Distributed Newton-Type Optimization Method ICML 2020 Direct Feedback Alignment Scales to Modern Deep Learning Tasks and Architectures NeurIPS 2020 Directional convergence and alignment in deep learning NeurIPS 2020 Directional Pruning of Deep Neural Networks NeurIPS 2020 Direct Policy Gradients: Direct Optimization of Policies in Discrete Action Spaces NeurIPS 2020 Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks IJCAI 2020 DisARM: An Antithetic Gradient Estimator for Binary Latent Variables NeurIPS 2020 DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction NeurIPS 2020 Discount Factor as a Regularizer in Reinforcement Learning ICML 2020 Discourse Level Factors for Sentence Deletion in Text Simplification AAAI 2020 Discrepancy Ratio: Evaluating Model Performance When Even Experts Disagree on the Truth ICLR 2020 Discrete Embedding for Latent Networks IJCAI 2020 Discrete Latent Variable Representations for Low-Resource Text Classification ACL 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Discriminative Feature Selection via A Structured Sparse Subspace Learning Module IJCAI 2020 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions ICML 2020 Discriminative Method to Extract Coarse Prosodic Structure and its Application for Statistical Phrase/Accent Command Estimation Interspeech 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial observations ICLR 2020 Disentangling Trainability and Generalization in Deep Neural Networks ICML 2020 DISK: Learning local features with policy gradient NeurIPS 2020 Displacement-Invariant Matching Cost Learning for Accurate Optical Flow Estimation NeurIPS 2020