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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102

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Papers (including subtopics)

Learning Branching Heuristics for Propositional Model Counting AAAI 2021 Learning by Watching CVPR 2021 Learning Complexity of Simulated Annealing AISTATS 2021 Learning Deep Generative Models for Queuing Systems AAAI 2021 Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction CVPR 2021 Learning Dynamics Models with Stable Invariant Sets AAAI 2021 Learning Equilibria in Matching Markets from Bandit Feedback NeurIPS 2021 Learning from History for Byzantine Robust Optimization ICML 2021 Learning Graphons via Structured Gromov-Wasserstein Barycenters AAAI 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Multi-Stage Decentralized Matching Markets NeurIPS 2021 Learning in Non-Cooperative Configurable Markov Decision Processes NeurIPS 2021 Learning interaction kernels in heterogeneous systems of agents from multiple trajectories JMLR 2021 Learning Interpretable Decision Rule Sets: A Submodular Optimization Approach NeurIPS 2021 Learning local modules in dynamic networks L4DC 2021 Learning Models as Functionals of Signed-Distance Fields for Manipulation Planning CoRL 2021 Learning Multi-Scale Photo Exposure Correction CVPR 2021 Learning Online Algorithms with Distributional Advice ICML 2021 Learning Optimal Auctions with Correlated Valuations from Samples ICML 2021 Learning Partially Observed Linear Dynamical Systems from Logarithmic Number of Samples L4DC 2021 Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases AAAI 2021 Learning Sparse Classifiers: Continuous and Mixed Integer Optimization Perspectives JMLR 2021 Learning Stabilizing Controllers for Unstable Linear Quadratic Regulators from a Single Trajectory L4DC 2021 Learning Stochastic Behaviour from Aggregate Data ICML 2021 Learning Strategies in Decentralized Matching Markets under Uncertain Preferences JMLR 2021