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Papers
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking
ICML 2020
Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization
ICML 2020
IPBoost – Non-Convex Boosting via Integer Programming
ICML 2020
Modeling and Optimization Trade-off in Meta-learning
NeurIPS 2020
Momentum Improves Normalized SGD
ICML 2020
Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond
COLT 2020
Non-Convex SGD Learns Halfspaces with Adversarial Label Noise
NeurIPS 2020
Nonconvex Sparse Graph Learning under Laplacian Constrained Graphical Model
NeurIPS 2020
Non-monotone DR-submodular Maximization over General Convex Sets
IJCAI 2020
One-Bit Compressed Sensing via One-Shot Hard Thresholding
UAI 2020
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning
ICLR 2020
Online Non-Convex Learning: Following the Perturbed Leader is Optimal
ALT 2020
Online Non-Convex Optimization with Imperfect Feedback
NeurIPS 2020
On the Almost Sure Convergence of Stochastic Gradient Descent in Non-Convex Problems
NeurIPS 2020
On the Convergence of SARAH and Beyond
AISTATS 2020
On the Convergence Theory of Gradient-Based Model-Agnostic Meta-Learning Algorithms
AISTATS 2020
On the Distribution of Minima in Intrinsic-Metric Rotation Averaging
CVPR 2020
On the Theoretical Guarantees for Parameter Estimation of Gaussian Random Field Models: A Sparse Precision Matrix Approach
JMLR 2020
Optimal Learning from Verified Training Data
NeurIPS 2020
Optimistic Dual Extrapolation for Coherent Non-monotone Variational Inequalities
NeurIPS 2020
Optimization Learning: Perspective, Method, and Applications
IJCAI 2020
Oracle Efficient Private Non-Convex Optimization
ICML 2020
pbSGD: Powered Stochastic Gradient Descent Methods for Accelerated Non-Convex Optimization
IJCAI 2020
Policy Optimization for H_2 Linear Control with H_∞ Robustness Guarantee: Implicit Regularization and Global Convergence
L4DC 2020
Projection Robust Wasserstein Distance and Riemannian Optimization
NeurIPS 2020