Optimization
1,521 papers
Papers per year
1
1
1
11
7
7
11
8
28
33
56
55
46
45
47
81
86
122
135
143
152
237
149
59
'5
'10
'15
'20
'25
Papers
Accelerated SGD for Non-Strongly-Convex Least Squares
COLT 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
NeurIPS 2022
A consistently adaptive trust-region method
NeurIPS 2022
A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows
AISTATS 2022
Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by Adaptive Discretization
AISTATS 2022
A Damped Newton Method Achieves Global $\mathcal O \left(\frac{1}{k^2}\right)$ and Local Quadratic Convergence Rate
NeurIPS 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
AAAI 2022
A Dimensionality Reduction Method for Finding Least Favorable Priors with a Focus on Bregman Divergence
AISTATS 2022
A fast and accurate splitting method for optimal transport: analysis and implementation
ICLR 2022
A gradient sampling method with complexity guarantees for Lipschitz functions in high and low dimensions
NeurIPS 2022
An Alternate Policy Gradient Estimator for Softmax Policies
AISTATS 2022
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming
ICML 2022
Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets
ICML 2022
A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes
AAAI 2022
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract)
AAAI 2022
Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions
EMNLP 2022
A Unifying Framework for Variance-Reduced Algorithms for Findings Zeroes of Monotone operators
JMLR 2022
Automatic differentiation of nonsmooth iterative algorithms
NeurIPS 2022
A Variant of Anderson Mixing with Minimal Memory Size
NeurIPS 2022
Big-Step-Little-Step: Efficient Gradient Methods for Objectives with Multiple Scales
COLT 2022
BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach
NeurIPS 2022
Bounds on Causal Effects and Application to High Dimensional Data
AAAI 2022
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
AAAI 2022
Bridging Central and Local Differential Privacy in Data Acquisition Mechanisms
NeurIPS 2022
Combining Constraint Solving and Bayesian Techniques for System Optimization
IJCAI 2022