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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
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2000
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Papers (including subtopics)

Automatic Synthesis of Smart Table Constraints by Abstraction of Table Constraints IJCAI 2017 Automatic Time-Frequency Analysis of Echolocation Signals Using the Matched Gaussian Multitaper Spectrogram Interspeech 2017 Balancing and Step Recovery Capturability via Sums-of-Squares Optimization RSS 2017 Balancing information exposure in social networks NeurIPS 2017 Bandits Dueling on Partially Ordered Sets NeurIPS 2017 Bandits with Movement Costs and Adaptive Pricing COLT 2017 Batched High-dimensional Bayesian Optimization via Structural Kernel Learning ICML 2017 Bayesian Network Learning via Topological Order JMLR 2017 Bayesian Network Structure Learning with Integer Programming: Polytopes, Facets and Complexity (Extended Abstract) IJCAI 2017 Bayesian Optimization with Gradients NeurIPS 2017 Bernoulli Rank-1 Bandits for Click Feedback IJCAI 2017 Best Response Regression NeurIPS 2017 Beyond Forks: Finding and Ranking Star Factorings for Decoupled Search IJCAI 2017 Beyond the Nystrom Approximation: Speeding up Spectral Clustering using Uniform Sampling and Weighted Kernel k-means IJCAI 2017 Beyond Worst-case: A Probabilistic Analysis of Affine Policies in Dynamic Optimization NeurIPS 2017 Binary Constraint Preserving Graph Matching CVPR 2017 Black-box Importance Sampling AISTATS 2017 Boundary Crossing for General Exponential Families ALT 2017 Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NeurIPS 2017 Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction NeurIPS 2017 Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NeurIPS 2017 Capacity Releasing Diffusion for Speed and Locality ICML 2017 Cardinality Encodings for Graph Optimization Problems IJCAI 2017 CCEHC: An Efficient Local Search Algorithm for Weighted Partial Maximum Satisfiability (Extended Abstract) IJCAI 2017 Certifiably Optimal Low Rank Factor Analysis JMLR 2017