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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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828
3,646
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2000
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Papers (including subtopics)

Variational Inference for Sparse Gaussian Process Modulated Hawkes Process AAAI 2020 Variational Interaction Information Maximization for Cross-domain Disentanglement NeurIPS 2020 Variational Label Enhancement ICML 2020 Variational Learning of Bayesian Neural Networks via Bayesian Dark Knowledge IJCAI 2020 Variational Neural Machine Translation with Normalizing Flows ACL 2020 Variational Pathway Reasoning for EEG Emotion Recognition AAAI 2020 Variational Policy Gradient Method for Reinforcement Learning with General Utilities NeurIPS 2020 Variation in Spectral Slope and Interharmonic Noise in Cantonese Tones Interspeech 2020 VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning ICLR 2020 VarNet: Variational Neural Networks for the Solution of Partial Differential Equations L4DC 2020 VCG under Sybil (False-Name) Attacks - A Bayesian Analysis AAAI 2020 VECA: A Method for Detecting Overfitting in Neural Networks (Student Abstract) AAAI 2020 Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection IJCAI 2020 Vector Quantization-Based Regularization for Autoencoders AAAI 2020 Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints IJCAI 2020 Verifying Individual Fairness in Machine Learning Models UAI 2020 VideoFlow: A Conditional Flow-Based Model for Stochastic Video Generation ICLR 2020 Visualizing Deep Networks by Optimizing with Integrated Gradients AAAI 2020 Visual Relationship Detection with Low Rank Non-Negative Tensor Decomposition AAAI 2020 Visual Speech In Real Noisy Environments (VISION): A Novel Benchmark Dataset and Deep Learning-Based Baseline System Interspeech 2020 VMscatter: A Versatile MIMO Backscatter NSDI 2020 Wake Word Detection with Alignment-Free Lattice-Free MMI Interspeech 2020 Walking in the Shadow: A New Perspective on Descent Directions for Constrained Minimization NeurIPS 2020 Walsh-Hadamard Variational Inference for Bayesian Deep Learning NeurIPS 2020 Wasserstein Control of Mirror Langevin Monte Carlo COLT 2020