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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)

Multi-Feedback Bandit Learning with Probabilistic Contexts IJCAI 2020 Multi-Fidelity Bayesian Optimization via Deep Neural Networks NeurIPS 2020 Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization ICML 2020 Multi-Fidelity Black-Box Optimization for Time-Optimal Quadrotor Maneuvers RSS 2020 Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach AAAI 2020 Multi-Hypothesis Machine Translation Evaluation ACL 2020 Multi-label classification: do Hamming loss and subset accuracy really conflict with each other? NeurIPS 2020 Multi-label Feature Selection via Global Relevance and Redundancy Optimization IJCAI 2020 Multi-Level Structure vs. End-to-End-Learning in High-Performance Tactile Robotic Manipulation CoRL 2020 Multinomial Logit Bandit with Low Switching Cost ICML 2020 Multiparameter Persistence Landscapes JMLR 2020 Multi-Path RNN for Hierarchical Modeling of Long Sequential Data and its Application to Speaker Stream Separation Interspeech 2020 Multiple Anchor Learning for Visual Object Detection CVPR 2020 Multiplicative Gaussian Particle Filter AISTATS 2020 Multipole Graph Neural Operator for Parametric Partial Differential Equations NeurIPS 2020 Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs ICML 2020 Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis ICML 2020 Multiscale Deep Equilibrium Models NeurIPS 2020 Multi-Scale TCN: Exploring Better Temporal DNN Model for Causal Speech Enhancement Interspeech 2020 Multi-Source Domain Adaptation for Text Classification via DistanceNet-Bandits AAAI 2020 Multi-Speaker Emotion Conversion via Latent Variable Regularization and a Chained Encoder-Decoder-Predictor Network Interspeech 2020 Multi-Stage Influence Function NeurIPS 2020 Multi-task Additive Models for Robust Estimation and Automatic Structure Discovery NeurIPS 2020 Multi-task Causal Learning with Gaussian Processes NeurIPS 2020 Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization ICML 2020