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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)

Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023
Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023
Doubly Fair Dynamic Pricing AISTATS 2023
Large deviations rates for stochastic gradient descent with strongly convex functions AISTATS 2023
Stochastic Optimization for Spectral Risk Measures AISTATS 2023
Oracle-free Reinforcement Learning in Mean-Field Games along a Single Sample Path AISTATS 2023
A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem AISTATS 2023
Competing against Adaptive Strategies in Online Learning via Hints AISTATS 2023
Minimum-Entropy Coupling Approximation Guarantees Beyond the Majorization Barrier AISTATS 2023
Score-based Quickest Change Detection for Unnormalized Models AISTATS 2023
Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023
HeteRSGD: Tackling Heterogeneous Sampling Costs via Optimal Reweighted Stochastic Gradient Descent AISTATS 2023
Mixtures of All Trees AISTATS 2023
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation AISTATS 2023
Reward Learning as Doubly Nonparametric Bandits: Optimal Design and Scaling Laws AISTATS 2023
Randomized Primal-Dual Methods with Adaptive Step Sizes AISTATS 2023
Optimal Sketching Bounds for Sparse Linear Regression AISTATS 2023
Breaking a Classical Barrier for Classifying Arbitrary Test Examples in the Quantum Model AISTATS 2023
Algorithm for Constrained Markov Decision Process with Linear Convergence AISTATS 2023
Reconstructing Ultrametric Trees from Noisy Experiments ALT 2023
Online k-means Clustering on Arbitrary Data Streams ALT 2023
A Query Algorithm for Learning a Spanning Forest in Weighted Undirected Graphs ALT 2023
Spatially Adaptive Online Prediction of Piecewise Regular Functions ALT 2023
On the complexity of finding stationary points of smooth functions in one dimension ALT 2023