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Papers
Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations
NeurIPS 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization
NeurIPS 2024
Generalization Bounds for Label Noise Stochastic Gradient Descent
AISTATS 2024
Generalization Bounds of Nonconvex-(Strongly)-Concave Stochastic Minimax Optimization
AISTATS 2024
Generative Learning for Solving Non-Convex Problem with Multi-Valued Input-Solution Mapping
ICLR 2024
Globally Q-linear Gauss-Newton Method for Overparameterized Non-convex Matrix Sensing
NeurIPS 2024
Global Optimality for Non-linear Constrained Restoration Problems via Invexity
ICLR 2024
GRaCE: Balancing Multiple Criteria to Achieve Stable, Collision-Free, and Functional Grasps
RSS 2024
Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization
NeurIPS 2024
Gradient-free optimization of highly smooth functions: improved analysis and a new algorithm
JMLR 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction
NeurIPS 2024
Hierarchical Global Asynchronous Federated Learning Across Multi-Center
ACML 2024
High-probability complexity bounds for stochastic non-convex minimax optimization
NeurIPS 2024
High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise
JMLR 2024
Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning
ICLR 2024
Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity
NeurIPS 2024
Initializing Services in Interactive ML Systems for Diverse Users
NeurIPS 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
AAAI 2024
Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem
NeurIPS 2024
Multi-View Randomized Kernel Classification via Nonconvex Optimization
AAAI 2024
No Internal Regret with Non-convex Loss Functions
AAAI 2024
Non-asymptotic Analysis of Biased Adaptive Stochastic Approximation
NeurIPS 2024
Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization
JMLR 2024
Non-Convex Joint Community Detection and Group Synchronization via Generalized Power Method
AISTATS 2024
Nonconvex Multiview Subspace Clustering Framework with Efficient Method Designs and Theoretical Analysis
IJCAI 2024