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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling NIPS 2024
SPO: Sequential Monte Carlo Policy Optimisation NIPS 2024
Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms NIPS 2024
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation NIPS 2024
LibMOON: A Gradient-based MultiObjective OptimizatioN Library in PyTorch NIPS 2024
Online Learning of Delayed Choices NIPS 2024
AdjointDEIS: Efficient Gradients for Diffusion Models NIPS 2024
The Surprising Effectiveness of SP Voting with Partial Preferences NIPS 2024
Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes NIPS 2024
Optimizing Automatic Differentiation with Deep Reinforcement Learning NIPS 2024
Fair Secretaries with Unfair Predictions NIPS 2024
A Decision-Language Model (DLM) for Dynamic Restless Multi-Armed Bandit Tasks in Public Health NIPS 2024
Polynomial-Time Computation of Exact $\Phi$-Equilibria in Polyhedral Games NIPS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NIPS 2024
Continuous Partitioning for Graph-Based Semi-Supervised Learning NIPS 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NIPS 2024
Supervised Kernel Thinning NIPS 2024
Learning diffusion at lightspeed NIPS 2024
Locally Private and Robust Multi-Armed Bandits NIPS 2024
Optimal Multiclass U-Calibration Error and Beyond NIPS 2024
DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection NIPS 2024
Incorporating Surrogate Gradient Norm to Improve Offline Optimization Techniques NIPS 2024
Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NIPS 2024