Co-occurring keywords · papers mentioning both
Papers
Towards Understanding Generalization of Graph Neural Networks
ICML 2023
Unbiased Compression Saves Communication in Distributed Optimization: When and How Much?
NeurIPS 2023
Unbiased Stochastic Proximal Solver for Graph Neural Networks with Equilibrium States
ICLR 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction
CVPR 2023
User-level Private Stochastic Convex Optimization with Optimal Rates
ICML 2023
Utilitarian Algorithm Configuration
NeurIPS 2023
Which Tricks are Important for Learning to Rank?
ICML 2023
Zero-Regret Performative Prediction Under Inequality Constraints
NeurIPS 2023
A Bregman Learning Framework for Sparse Neural Networks
JMLR 2022
Accelerated, Optimal and Parallel: Some results on model-based stochastic optimization
ICML 2022
A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications
ICLR 2022
AdaGrad Avoids Saddle Points
ICML 2022
Adapting to Mixing Time in Stochastic Optimization with Markovian Data
ICML 2022
Adaptive and Universal Algorithms for Variational Inequalities with Optimal Convergence
AAAI 2022
Adaptive Artificial Intelligence Scheduling Methods for Large-Scale, Stochastic, Industrial Applications
IJCAI 2022
Adaptive Best-of-Both-Worlds Algorithm for Heavy-Tailed Multi-Armed Bandits
ICML 2022
Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum
ICML 2022
ADVISER: AI-Driven Vaccination Intervention Optimiser for Increasing Vaccine Uptake in Nigeria
IJCAI 2022
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
NeurIPS 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning
AISTATS 2022
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
NeurIPS 2022
Amortized Implicit Differentiation for Stochastic Bilevel Optimization
ICLR 2022
Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation
AAAI 2022
An Experimental Design Approach for Regret Minimization in Logistic Bandits
AAAI 2022
A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
NeurIPS 2022