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Optimization

1638 directly classified papers

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Papers

RID-Noise: Towards Robust Inverse Design under Noisy Environments AAAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs AAAI 2022
Orthogonal Graph Neural Networks AAAI 2022
Efficient Riemannian Meta-Optimization by Implicit Differentiation AAAI 2022
Towards an Effective Orthogonal Dictionary Convolution Strategy AAAI 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
Sharp Bounds for Federated Averaging (Local SGD) and Continuous Perspective AISTATS 2022
Robust Training in High Dimensions via Block Coordinate Geometric Median Descent AISTATS 2022
The role of optimization geometry in single neuron learning AISTATS 2022
The Fast Kernel Transform AISTATS 2022
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems AAAI 2022
HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022
Fast Monte-Carlo Approximation of the Attention Mechanism AAAI 2022
KOALA: A Kalman Optimization Algorithm with Loss Adaptivity AAAI 2022
Federated Dynamic Sparse Training: Computing Less, Communicating Less, Yet Learning Better AAAI 2022
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points ICML 2022
Neural Collapse with Normalized Features: A Geometric Analysis over the Riemannian Manifold NIPS 2022
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions NIPS 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NIPS 2022