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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
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440
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2000
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Papers (including subtopics)

Parameterized Algorithms for Finding a Collective Set of Items AAAI 2020 Parameter Optimization for Learning-based Control of Control-Affine Systems L4DC 2020 Partial Optimal Tranport with applications on Positive-Unlabeled Learning NeurIPS 2020 Participatory Budgeting with Project Interactions IJCAI 2020 Path Planning Problems with Side Observations—When Colonels Play Hide-and-Seek AAAI 2020 Pay Your Trip for Traffic Congestion: Dynamic Pricing in Traffic-Aware Road Networks AAAI 2020 pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization IJCAI 2020 PeerNomination: Relaxing Exactness for Increased Accuracy in Peer Selection IJCAI 2020 Personalized Federated Learning with Moreau Envelopes NeurIPS 2020 Persuading Voters: It's Easy to Whisper, It's Hard to Speak Loud AAAI 2020 Phase retrieval in high dimensions: Statistical and computational phase transitions NeurIPS 2020 Photometric Stereo via Discrete Hypothesis-and-Test Search CVPR 2020 PIDS: An Intelligent Electric Power Management Platform AAAI 2020 Piecewise Linear Regression via a Difference of Convex Functions ICML 2020 Plankton: Scalable network configuration verification through model checking NSDI 2020 Planning Algorithms for Zero-Sum Games with Exponential Action Spaces: A Unifying Perspective IJCAI 2020 Planning with General Objective Functions: Going Beyond Total Rewards NeurIPS 2020 Please Mind the Root: Decoding Arborescences for Dependency Parsing EMNLP 2020 Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging CVPR 2020 Point-Based Methods for Model Checking in Partially Observable Markov Decision Processes AAAI 2020 Point process models for sequence detection in high-dimensional neural spike trains NeurIPS 2020 Pointwise Rotation-Invariant Network with Adaptive Sampling and 3D Spherical Voxel Convolution AAAI 2020 Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence L4DC 2020 Polynomial Matrix Completion for Missing Data Imputation and Transductive Learning AAAI 2020 Polytime Decomposition of Generalized Submodular Base Polytopes with Efficient Sampling ACML 2020