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)

Leaky Hockey Stick Loss: The First Negatively Divergent Margin-based Loss Function for Classification JMLR 2023 Learnable Blur Kernel for Single-Image Defocus Deblurring in the Wild AAAI 2023 Learnable Path in Neural Controlled Differential Equations AAAI 2023 Learning and Collusion in Multi-unit Auctions NeurIPS 2023 Learning and Planning under Uncertainty for Conservation Decisions AAAI 2023 Learning-Assisted Algorithm Unrolling for Online Optimization with Budget Constraints AAAI 2023 Learning-Augmented Algorithms for Online TSP on the Line AAAI 2023 Learning Control-Oriented Dynamical Structure from Data ICML 2023 Learning Correspondence Uncertainty via Differentiable Nonlinear Least Squares CVPR 2023 Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model ICLR 2023 Learning Cuts via Enumeration Oracles NeurIPS 2023 Learning differentiable solvers for systems with hard constraints ICLR 2023 Learning Exponential Families from Truncated Samples NeurIPS 2023 Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees ICML 2023 Learning Fractals by Gradient Descent AAAI 2023 Learning Functional Distributions with Private Labels ICML 2023 Learning Hidden Markov Models Using Conditional Samples COLT 2023 Learning Hidden Markov Models When the Locations of Missing Observations are Unknown ICML 2023 Learning in online MDPs: is there a price for handling the communicating case? UAI 2023 Learning in POMDPs is Sample-Efficient with Hindsight Observability ICML 2023 Learning Joint Latent Space EBM Prior Model for Multi-Layer Generator CVPR 2023 Learning Large-Scale MTP$_2$ Gaussian Graphical Models via Bridge-Block Decomposition NeurIPS 2023 Learning Narrow One-Hidden-Layer ReLU Networks COLT 2023 Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics ICML 2023 Learning Partial Differential Equations in Reproducing Kernel Hilbert Spaces JMLR 2023