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)

A Computational Framework for Solving Wasserstein Lagrangian Flows ICML 2024 A connection between Tempering and Entropic Mirror Descent ICML 2024 A Contextual Combinatorial Bandit Approach to Negotiation ICML 2024 Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice ICML 2024 Active Learning for Derivative-Based Global Sensitivity Analysis with Gaussian Processes NeurIPS 2024 Active Ranking and Matchmaking, with Perfect Matchings ICML 2024 AdaLomo: Low-memory Optimization with Adaptive Learning Rate ACL 2024 Adam with model exponential moving average is effective for nonconvex optimization NeurIPS 2024 Adaptive and non-adaptive minimax rates for weighted Laplacian-Eigenmap based nonparametric regression AISTATS 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search AAAI 2024 Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies ALT 2024 Adaptive Conformal Inference by Betting ICML 2024 Adaptive Experimentation When You Can't Experiment NeurIPS 2024 Adaptive Federated Minimax Optimization with Lower Complexities AISTATS 2024 Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds COLT 2024 Adaptively Learning to Select-Rank in Online Platforms ICML 2024 Adaptively Perturbed Mirror Descent for Learning in Games ICML 2024 Adaptive Observation Cost Control for Variational Quantum Eigensolvers ICML 2024 Adaptive Online Experimental Design for Causal Discovery ICML 2024 Adaptive online non-stochastic control L4DC 2024 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Adaptive Proximal Gradient Methods Are Universal Without Approximation ICML 2024 Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 Adaptive Softassign via Hadamard-Equipped Sinkhorn CVPR 2024