Co-occurring keywords · papers mentioning both
Papers
Markov Chain Score Ascent: A Unifying Framework of Variational Inference with Markovian Gradients
NeurIPS 2022
Masked Training of Neural Networks with Partial Gradients
AISTATS 2022
Mean-field Analysis of Piecewise Linear Solutions for Wide ReLU Networks
JMLR 2022
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
ICLR 2022
Momentum Aggregation for Private Non-convex ERM
NeurIPS 2022
Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents
NeurIPS 2022
Multirate Training of Neural Networks
ICML 2022
(Nearly) Optimal Private Linear Regression for Sub-Gaussian Data via Adaptive Clipping
COLT 2022
Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective
ICML 2022
Non-Vacuous Generalisation Bounds for Shallow Neural Networks
ICML 2022
Offline Neural Contextual Bandits: Pessimism, Optimization and Generalization
ICLR 2022
On Almost Sure Convergence Rates of Stochastic Gradient Methods
COLT 2022
On Biased Stochastic Gradient Estimation
JMLR 2022
One size does not fit all: Investigating strategies for differentially-private learning across NLP tasks
EMNLP 2022
Online Nonsubmodular Minimization with Delayed Costs: From Full Information to Bandit Feedback
ICML 2022
On the Convergence of mSGD and AdaGrad for Stochastic Optimization
ICLR 2022
On the Double Descent of Random Features Models Trained with SGD
NeurIPS 2022
On the generalization of learning algorithms that do not converge
NeurIPS 2022
On the Generalization of Models Trained with SGD: Information-Theoretic Bounds and Implications
ICLR 2022
On the Last Iterate Convergence of Momentum Methods
ALT 2022
On the non-universality of deep learning: quantifying the cost of symmetry
NeurIPS 2022
On the Theoretical Properties of Noise Correlation in Stochastic Optimization
NeurIPS 2022
Optimization and Adaptive Generalization of Three layer Neural Networks
ICLR 2022
Permutation-Based SGD: Is Random Optimal?
ICLR 2022
Phase diagram of Stochastic Gradient Descent in high-dimensional two-layer neural networks
NeurIPS 2022