Continuous Optimization
4,424 papers
Papers per year
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Papers
Additive Error Guarantees for Weighted Low Rank Approximation
ICML 2021
A Deflation Based Fast and Robust Preconditioner for Bundle Adjustment
WACV 2021
A Deterministic Streaming Sketch for Ridge Regression
AISTATS 2021
A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation
COLT 2021
A Distributed Method for Fitting Laplacian Regularized Stratified Models
JMLR 2021
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
ICML 2021
Adversarially robust learning for security-constrained optimal power flow
NeurIPS 2021
A Faster Decentralized Algorithm for Nonconvex Minimax Problems
NeurIPS 2021
A Fast Globally Linearly Convergent Algorithm for the Computation of Wasserstein Barycenters
JMLR 2021
Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets
ICML 2021
A first-order primal-dual method with adaptivity to local smoothness
NeurIPS 2021
A General Framework for Empirical Bayes Estimation in Discrete Linear Exponential Family
JMLR 2021
A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast
NeurIPS 2021
A Gradient Method for Multilevel Optimization
NeurIPS 2021
A heuristic for statistical seriation
UAI 2021
A Highly-Efficient Group Elastic Net Algorithm with an Application to Function-On-Scalar Regression
NeurIPS 2021
A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization
ICML 2021
Alternating Direction Method of Multipliers for Quantization
AISTATS 2021
A Lyapunov Analysis of Accelerated Methods in Optimization
JMLR 2021
A Modular Analysis of Provable Acceleration via Polyak’s Momentum: Training a Wide ReLU Network and a Deep Linear Network
ICML 2021
An algorithmic view of L2 regularization and some path-following algorithms
JMLR 2021
Analysis of Sensing Spectral for Signal Recovery under a Generalized Linear Model
NeurIPS 2021
Analytical Study of Momentum-Based Acceleration Methods in Paradigmatic High-Dimensional Non-Convex Problems
NeurIPS 2021
Anderson acceleration of coordinate descent
AISTATS 2021
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
NeurIPS 2021