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Optimization

1,664 papers

Papers per year

2
22
150
248
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Papers

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022
Tight Neural Network Verification via Semidefinite Relaxations and Linear Reformulations AAAI 2022
Coordinate Descent on the Orthogonal Group for Recurrent Neural Network Training AAAI 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection AAAI 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
HoD-Net: High-Order Differentiable Deep Neural Networks and Applications AAAI 2022
Spline-PINN: Approaching PDEs without Data Using Fast, Physics-Informed Hermite-Spline CNNs AAAI 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022
On the Impact of Spurious Correlation for Out-of-Distribution Detection AAAI 2022
Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022
Ludus: An Optimization Framework to Balance Auto Battler Cards AAAI 2022
Increasing the Diversity of Deep Generative Models AAAI 2022
On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022
A Stochastic Momentum Accelerated Quasi-Newton Method for Neural Networks (Student Abstract) AAAI 2022
A Short-Term Tropical Cyclone Intensity Forecasting Method Based on High-Order Tensor (Student Abstract) AAAI 2022
Proof of Learning: Towards a Practical Blockchain Consensus Mechanism Using Directed Guiding Gradients (Student Abstract) AAAI 2022
Efficient Hyper-parameter Search for Knowledge Graph Embedding ACL 2022
Fully Hyperbolic Neural Networks ACL 2022
SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums AISTATS 2022
Extragradient Method: O(1/K) Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity AISTATS 2022
Noise Regularizes Over-parameterized Rank One Matrix Recovery, Provably AISTATS 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022
Fast and accurate optimization on the orthogonal manifold without retraction AISTATS 2022
Communication-Compressed Adaptive Gradient Method for Distributed Nonconvex Optimization AISTATS 2022
Dropout as a Regularizer of Interaction Effects AISTATS 2022