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)

Limits of Dense Simplicial Complexes JMLR 2023 Linearization Algorithms for Fully Composite Optimization COLT 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach ICML 2023 Linear optimal partial transport embedding ICML 2023 Linear Partial Monitoring for Sequential Decision Making: Algorithms, Regret Bounds and Applications JMLR 2023 Linear Query Approximation Algorithms for Non-monotone Submodular Maximization under Knapsack Constraint IJCAI 2023 Linear Regularizers Enforce the Strict Saddle Property AAAI 2023 Linear Stochastic Bandits over a Bit-Constrained Channel L4DC 2023 Linear Time Algorithms for k-means with Multi-Swap Local Search NeurIPS 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023 Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices NeurIPS 2023 Locality Sensitive Hashing in Fourier Frequency Domain For Soft Set Containment Search NeurIPS 2023 Locally Regularized Neural Differential Equations: Some Black Boxes were meant to remain closed! ICML 2023 Local Message Passing on Frustrated Systems UAI 2023 Local-to-Global Registration for Bundle-Adjusting Neural Radiance Fields CVPR 2023 Logarithmic regret in communicating MDPs: Leveraging known dynamics with bandits ACML 2023 Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NeurIPS 2023 LogSpecT: Feasible Graph Learning Model from Stationary Signals with Recovery Guarantees NeurIPS 2023 Lo-Hi: Practical ML Drug Discovery Benchmark NeurIPS 2023 Lottery Tickets in Evolutionary Optimization: On Sparse Backpropagation-Free Trainability ICML 2023 Low-complexity Broadband Beampattern Synthesis using Array Response Control Interspeech 2023 Low Complexity Homeomorphic Projection to Ensure Neural-Network Solution Feasibility for Optimization over (Non-)Convex Set ICML 2023 Lower Bounds and Accelerated Algorithms for Bilevel Optimization JMLR 2023 Lower Bounds for the Convergence of Tensor Power Iteration on Random Overcomplete Models COLT 2023 Lower Bounds on Adaptive Sensing for Matrix Recovery NeurIPS 2023