Co-occurring keywords · papers mentioning both
Papers
Clipping the Price of Adaptivity at the Tail
COLT 2026
Complexity of Vector-valued Prediction: From Linear Models to Stochastic Convex Optimization
ALT 2026
Nearly Linear-Time User-Level DP-SCO with Optimal Rates
COLT 2026
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
JMLR 2026
Differentially private algorithms for linear queries via stochastic convex optimization
AISTATS 2025
Enhancing Parallelism in Decentralized Stochastic Convex Optimization
ICML 2025
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
AISTATS 2025
Online Convex Optimization with a Separation Oracle
COLT 2025
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
ICML 2025
The Dimension Strikes Back with Gradients: Generalization of Gradient Methods in Stochastic Convex Optimization
ALT 2025
Accelerated Parameter-Free Stochastic Optimization
COLT 2024
Differentially Private Optimization with Sparse Gradients
NeurIPS 2024
Faster Algorithms for User-Level Private Stochastic Convex Optimization
NeurIPS 2024
Faster Rates of Differentially Private Stochastic Convex Optimization
JMLR 2024
Fault Tolerant ML: Efficient Meta-Aggregation and Synchronous Training
ICML 2024
Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing
ICML 2024
Mirror Descent Algorithms with Nearly Dimension-Independent Rates for Differentially-Private Stochastic Saddle-Point Problems extended abstract
COLT 2024
Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD
NeurIPS 2024
Optimal Differentially Private Model Training with Public Data
ICML 2024
Private and Federated Stochastic Convex Optimization: Efficient Strategies for Centralized Systems
ICML 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
NeurIPS 2024
Public-data Assisted Private Stochastic Optimization: Power and Limitations
NeurIPS 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
NeurIPS 2024
The Price of Adaptivity in Stochastic Convex Optimization
COLT 2024
The sample complexity of ERMs in stochastic convex optimization
AISTATS 2024