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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)

Ranked Programming IJCAI 2019 Ranking Passages for Argument Convincingness ACL 2019 Rao-Blackwellized Stochastic Gradients for Discrete Distributions ICML 2019 Rapid Convergence of the Unadjusted Langevin Algorithm: Isoperimetry Suffices NeurIPS 2019 Rates of Convergence for Large-scale Nearest Neighbor Classification NeurIPS 2019 Rates of Convergence for Sparse Variational Gaussian Process Regression ICML 2019 RAVEN: A Dataset for Relational and Analogical Visual REasoNing CVPR 2019 Ray-Space Projection Model for Light Field Camera CVPR 2019 Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking AAAI 2019 Reachable Space Characterization of Markov Decision Processes with Time Variability RSS 2019 ReAl-LiFE: Accelerating the Discovery of Individualized Brain Connectomes on GPUs AAAI 2019 Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps RSS 2019 Real-Time Reactive Trip Avoidance for Powered Transfemoral Prostheses RSS 2019 Reasoning about Quality and Fuzziness of Strategic Behaviours IJCAI 2019 Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard COLT 2019 Recall Traces: Backtracking Models for Efficient Reinforcement Learning ICLR 2019 Receding Horizon Curiosity CoRL 2019 Recommending Links to Maximize the Influence in Social Networks IJCAI 2019 Reconstructing Trees from Traces COLT 2019 Recovering Bandits NeurIPS 2019 Recovery Guarantees For Quadratic Tensors With Sparse Observations AISTATS 2019 RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019 Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019 Recurrent models and lower bounds for projective syntactic decoding NAACL 2019 Recurrent Neural Networks With Intra-Frame Iterations for Video Deblurring CVPR 2019