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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Papers (including subtopics)

Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition ICML 2020 Learning Algebraic Multigrid Using Graph Neural Networks ICML 2020 Learning and Solving Regular Decision Processes IJCAI 2020 Learning-Augmented Data Stream Algorithms ICLR 2020 Learning Augmented Energy Minimization via Speed Scaling NeurIPS 2020 Learning-based Stochastic Model Predictive Control with State-Dependent Uncertainty L4DC 2020 Learning Combinatorial Solver for Graph Matching CVPR 2020 Learning Composable Energy Surrogates for PDE Order Reduction NeurIPS 2020 Learning Continuous System Dynamics from Irregularly-Sampled Partial Observations NeurIPS 2020 Learning Convex Optimization Control Policies L4DC 2020 Learning decomposable models by coarsening PGM 2020 Learning Discrete Energy-based Models via Auxiliary-variable Local Exploration NeurIPS 2020 Learning Dynamical Systems with Side Information L4DC 2020 Learning Feature Sparse Principal Subspace NeurIPS 2020 Learning for Graph Matching and Related Combinatorial Optimization Problems IJCAI 2020 Learning Intrinsic Rewards as a Bi-Level Optimization Problem UAI 2020 Learning Linear Programs from Optimal Decisions NeurIPS 2020 Learning MAX-SAT from Contextual Examples for Combinatorial Optimisation AAAI 2020 Learning nonlinear dynamical systems from a single trajectory L4DC 2020 Learning Optimal Cyclic Causal Graphs from Interventional Data PGM 2020 Learning Optimal Decision Trees Using Caching Branch-and-Bound Search AAAI 2020 Learning Optimal Decision Trees using Constraint Programming (Extended Abstract) IJCAI 2020 Learning Optimal Temperature Region for Solving Mixed Integer Functional DCOPs IJCAI 2020 Learning piecewise Lipschitz functions in changing environments AISTATS 2020 Learning Polynomials in Few Relevant Dimensions COLT 2020