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)

Optimal Transport Aggregation for Visual Place Recognition CVPR 2024 Optimal Transport for Measures with Noisy Tree Metric AISTATS 2024 Optimal Transport for Structure Learning Under Missing Data ICML 2024 Optimal Transport with Cyclic Symmetry AAAI 2024 Optimal Transport with Tempered Exponential Measures AAAI 2024 Optimisation and Approximation in Abstract Argumentation: The Case of Stable Semantics IJCAI 2024 Optimising Distributions with Natural Gradient Surrogates AISTATS 2024 Optimistic Bayesian Optimization with Unknown Constraints ICLR 2024 Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization JMLR 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries JMLR 2024 Optimization Algorithm Design via Electric Circuits NeurIPS 2024 Optimization Can Learn Johnson Lindenstrauss Embeddings NeurIPS 2024 Optimization without Retraction on the Random Generalized Stiefel Manifold ICML 2024 Optimized Speculative Sampling for GPU Hardware Accelerators EMNLP 2024 Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems AAAI 2024 Optimizing Automatic Differentiation with Deep Reinforcement Learning NeurIPS 2024 Optimizing Local Satisfaction of Long-Run Average Objectives in Markov Decision Processes AAAI 2024 Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition NeurIPS 2024 Optimizing Prosumer Policies in Periodic Double Auctions Inspired by Equilibrium Analysis IJCAI 2024 Optimizing Resource Allocation in Hyperscale Datacenters: Scalability, Usability, and Experiences OSDI 2024 Optimizing the coalition gain in Online Auctions with Greedy Structured Bandits NeurIPS 2024 Ordered Momentum for Asynchronous SGD NeurIPS 2024 OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization ICML 2024 OT4P: Unlocking Effective Orthogonal Group Path for Permutation Relaxation NeurIPS 2024