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Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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16
133
440
1,353
1,441
2000
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Papers (including subtopics)

Template-Based Monocular 3D Recovery of Elastic Shapes Using Lagrangian Multipliers CVPR 2017 Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos CVPR 2017 Temporal Planning for Compilation of Quantum Approximate Optimization Circuits IJCAI 2017 Temporal Planning with Clock-Based SMT Encodings IJCAI 2017 Tensor Balancing on Statistical Manifold ICML 2017 Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017 Tensor Decomposition via Simultaneous Power Iteration ICML 2017 Tensor Decomposition with Smoothness ICML 2017 Ten Steps of EM Suffice for Mixtures of Two Gaussians COLT 2017 The Ceteris Paribus Structure of Logics of Game Forms (Extended Abstract) IJCAI 2017 The DNA Word Design Problem: A New Constraint Model and New Results IJCAI 2017 The Importance of Communities for Learning to Influence NeurIPS 2017 The limits of automatic summarisation according to ROUGE EACL 2017 The Mixing of Markov Chains on Linear Extensions in Practice IJCAI 2017 The Numerics of GANs NeurIPS 2017 The Price of Selection in Differential Privacy COLT 2017 The Sample Complexity of Optimizing a Convex Function COLT 2017 The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime COLT 2017 The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings NeurIPS 2017 Thompson Sampling for the MNL-Bandit COLT 2017 Thresholding Bandits with Augmented UCB IJCAI 2017 Tight Bounds for Approximate Carathéodory and Beyond ICML 2017 Tight Bounds for Bandit Combinatorial Optimization COLT 2017 Top-k Supervise Feature Selection via ADMM for Integer Programming IJCAI 2017 Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging IJCNLP 2017