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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)

Blockout: Dynamic Model Selection for Hierarchical Deep Networks CVPR 2016 Boosting with Abstention NeurIPS 2016 Bootstrap-Based Regularization for Low-Rank Matrix Estimation JMLR 2016 Bootstrap Model Aggregation for Distributed Statistical Learning NeurIPS 2016 Bounding the Search Space for Global Optimization of Neural Networks Learning Error: An Interval Analysis Approach JMLR 2016 BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition CVPR 2016 Bridging the Gap between Stochastic Gradient MCMC and Stochastic Optimization AISTATS 2016 C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching AISTATS 2016 Catching heuristics are optimal control policies NeurIPS 2016 Causal Bandits: Learning Good Interventions via Causal Inference NeurIPS 2016 Causal Discovery from Subsampled Time Series Data by Constraint Optimization PGM 2016 Chained Gaussian Processes AISTATS 2016 Characterizing Vocal Tract Dynamics Across Speakers Using Real-Time MRI Interspeech 2016 Choice of V for V-Fold Cross-Validation in Least-Squares Density Estimation JMLR 2016 CLARINET: WAN-Aware Optimization for Analytics Queries OSDI 2016 Closed-Form Training of Mahalanobis Distance for Supervised Clustering CVPR 2016 Closed Loop Control of a Tethered Magnetic Capsule Endoscope RSS 2016 Clustering with Bregman Divergences: an Asymptotic Analysis NeurIPS 2016 CMA-ES with Optimal Covariance Update and Storage Complexity NeurIPS 2016 CNNpack: Packing Convolutional Neural Networks in the Frequency Domain NeurIPS 2016 Coin Betting and Parameter-Free Online Learning NeurIPS 2016 Collapsed Variational Inference for Sum-Product Networks ICML 2016 Combinatorial Energy Learning for Image Segmentation NeurIPS 2016 Combinatorial Multi-Armed Bandit and Its Extension to Probabilistically Triggered Arms JMLR 2016 Combinatorial Multi-Armed Bandit with General Reward Functions NeurIPS 2016