conftrace_

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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102

133

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398

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487

649

812

1,162

1,353

1,487

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2000

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Papers (including subtopics)

Learning Quadratic Games on Networks ICML 2020 Learning solutions to hybrid control problems using Benders cuts L4DC 2020 Learning Some Popular Gaussian Graphical Models without Condition Number Bounds NeurIPS 2020 Learning sparse codes from compressed representations with biologically plausible local wiring constraints NeurIPS 2020 Learning Sparse Nonparametric DAGs AISTATS 2020 Learning Strategic Network Emergence Games NeurIPS 2020 Learning Strategy-Aware Linear Classifiers NeurIPS 2020 Learning Structured Distributions From Untrusted Batches: Faster and Simpler NeurIPS 2020 Learning the Geometry of Wave-Based Imaging NeurIPS 2020 Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising IJCAI 2020 Learning to Guide Random Search ICLR 2020 Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees AAAI 2020 Learning to Optimize on SPD Manifolds CVPR 2020 Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems AAAI 2020 Learning to Play Sequential Games versus Unknown Opponents NeurIPS 2020 Learning to Reason: Leveraging Neural Networks for Approximate DNF Counting AAAI 2020 Learning to Select Base Classes for Few-Shot Classification CVPR 2020 Learning to Simulate and Design for Structural Engineering ICML 2020 Learning to solve TV regularised problems with unrolled algorithms NeurIPS 2020 Learning transport cost from subset correspondence ICLR 2020 Learning URI Selection Criteria to Improve the Crawling of Linked Open Data (Extended Abstract) IJCAI 2020 Learning Utilities and Equilibria in Non-Truthful Auctions NeurIPS 2020 Learning with Fenchel-Young losses JMLR 2020 Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces NeurIPS 2020 Learning With Subquadratic Regularization : A Primal-Dual Approach IJCAI 2020