Co-occurring keywords · papers mentioning both
Papers
Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
NeurIPS 2024
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
JMLR 2024
Optimizing over Multiple Distributions under Generalized Quasar-Convexity Condition
NeurIPS 2024
Outliers with Opposing Signals Have an Outsized Effect on Neural Network Optimization
ICLR 2024
PASOA- PArticle baSed Bayesian Optimal Adaptive design
ICML 2024
PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search
IJCAI 2024
Private Algorithms for Stochastic Saddle Points and Variational Inequalities: Beyond Euclidean Geometry
NeurIPS 2024
Private Zeroth-Order Nonsmooth Nonconvex Optimization
ICLR 2024
Quantum Algorithms for Non-smooth Non-convex Optimization
NeurIPS 2024
Quasi-Monte Carlo for 3D Sliced Wasserstein
ICLR 2024
Queueing Matching Bandits with Preference Feedback
NeurIPS 2024
Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
NeurIPS 2024
Robust Reinforcement Learning with General Utility
NeurIPS 2024
Robust variance-regularized risk minimization with concomitant scaling
AISTATS 2024
Sample Average Approximation for Black-Box Variational Inference
UAI 2024
Sample Efficient Learning of Factored Embeddings of Tensor Fields
AISTATS 2024
SDEs for Minimax Optimization
AISTATS 2024
Second Order Methods for Bandit Optimization and Control
COLT 2024
Self-Repellent Random Walks on General Graphs - Achieving Minimal Sampling Variance via Nonlinear Markov Chains (Extended Abstract)
IJCAI 2024
Sharpened Lazy Incremental Quasi-Newton Method
AISTATS 2024
Single-Loop Stochastic Algorithms for Difference of Max-Structured Weakly Convex Functions
NeurIPS 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
Sophia: A Scalable Stochastic Second-order Optimizer for Language Model Pre-training
ICLR 2024
S-SOS: Stochastic Sum-Of-Squares for Parametric Polynomial Optimization
NeurIPS 2024
Stochastic-Constrained Stochastic Optimization with Markovian Data
JMLR 2024