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)

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Papers (including subtopics)

MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022 Modeling Dynamic Target Deformation in Camera Calibration WACV 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Modular Flows: Differential Molecular Generation NeurIPS 2022 Momentum Accelerates the Convergence of Stochastic AUPRC Maximization AISTATS 2022 Monte Carlo Tree Descent for Black-Box Optimization NeurIPS 2022 Monte Carlo Tree Search based Variable Selection for High Dimensional Bayesian Optimization NeurIPS 2022 Monte Carlo Tree Search for Interpreting Stress in Natural Language ACL 2022 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022 Multi-Agent Multi-Armed Bandits with Limited Communication JMLR 2022 Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism JMLR 2022 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NeurIPS 2022 Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022 Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization NeurIPS 2022 Multi-block-Single-probe Variance Reduced Estimator for Coupled Compositional Optimization NeurIPS 2022 Multi-Fidelity Best-Arm Identification NeurIPS 2022 Multi-fidelity Monte Carlo: a pseudo-marginal approach NeurIPS 2022 Multi-layer State Evolution Under Random Convolutional Design NeurIPS 2022 Multi-Leader Congestion Games with an Adversary AAAI 2022 Multilevel Optimization for Inverse Problems COLT 2022 Multimodal Colored Point Cloud to Image Alignment CVPR 2022 Multimodal Learning Using Optimal Transport for Sarcasm and Humor Detection WACV 2022 Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022 Multi-objective Deep Data Generation with Correlated Property Control NeurIPS 2022