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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
133
440
1,353
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2000
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Papers (including subtopics)

A Gradient Method for Multilevel Optimization NeurIPS 2021 A heuristic for statistical seriation UAI 2021 A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression NeurIPS 2021 A Hybrid Approximation to the Marginal Likelihood AISTATS 2021 A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021 A Hypergradient Approach to Robust Regression without Correspondence ICLR 2021 AI for Planning Public Health Interventions IJCAI 2021 AI for Social Good: Between My Research and the Real World AAAI 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 AligNarr: Aligning Narratives on Movies ACL 2021 Almost Envy-freeness, Envy-rank, and Nash Social Welfare Matchings AAAI 2021 Almost Optimal Anytime Algorithm for Batched Multi-Armed Bandits ICML 2021 Almost sure convergence rates for Stochastic Gradient Descent and Stochastic Heavy Ball COLT 2021 Alternating Direction Method of Multipliers for Quantization AISTATS 2021 Altruism Design in Networked Public Goods Games IJCAI 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 A Model of Winners Allocation AAAI 2021 A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network ICML 2021 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021 An Algorithm for Stochastic and Adversarial Bandits with Switching Costs ICML 2021 An algorithmic view of L2 regularization and some path-following algorithms JMLR 2021 Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model NeurIPS 2021 Analysis of stochastic Lanczos quadrature for spectrum approximation ICML 2021 Analysis of the Optimization Landscape of Linear Quadratic Gaussian (LQG) Control L4DC 2021