Co-occurring keywords · papers mentioning both
Papers
Infeasible Deterministic, Stochastic, and Variance-Reduction Algorithms for Optimization under Orthogonality Constraints
JMLR 2024
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization
AAAI 2024
Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning
NeurIPS 2024
Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization
AAAI 2024
Last-Iterate Convergence for Generalized Frank-Wolfe in Monotone Variational Inequalities
NeurIPS 2024
Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
ICML 2024
Learning Reduced Fluid Dynamics
AAAI 2024
Learning to Price Homogeneous Data
NeurIPS 2024
Learning via Surrogate PAC-Bayes
NeurIPS 2024
Local and Adaptive Mirror Descents in Extensive-Form Games
NeurIPS 2024
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
NeurIPS 2024
Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization
AAAI 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract
COLT 2024
Model-Based Best Arm Identification for Decreasing Bandits
AISTATS 2024
Nearly Minimax Optimal Submodular Maximization with Bandit Feedback
NeurIPS 2024
Near-optimal Per-Action Regret Bounds for Sleeping Bandits
AISTATS 2024
Nonlinear Filtering with Brenier Optimal Transport Maps
ICML 2024
No-Regret M${}^{\natural}$-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
NeurIPS 2024
On Convergence of Adam for Stochastic Optimization under Relaxed Assumptions
NeurIPS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
NeurIPS 2024
On the Optimal Time Complexities in Decentralized Stochastic Asynchronous Optimization
NeurIPS 2024
Open Problem: Black-Box Reductions and Adaptive Gradient Methods for Nonconvex Optimization
COLT 2024
Open Problem: Optimal Rates for Stochastic Decision-Theoretic Online Learning Under Differentially Privacy
COLT 2024
Optimal Algorithms for Stochastic Bilevel Optimization under Relaxed Smoothness Conditions
JMLR 2024
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
AAAI 2024