conftrace_

population risk

17 papers

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Co-occurring keywords

generalization bound (652) empirical risk (43) gradient descent (1144) stochastic gradient descent (1091) nonconvex optimization (316) differential privacy (1016) algorithm stability (9) conflict avoidance (3) generalized linear model (138) multi-objective learning (23)

Papers

Symmetries in Overparametrized Neural Networks: A Mean Field View NIPS 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance JMLR 2024
Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NIPS 2023
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods ICML 2023
Benign Underfitting of Stochastic Gradient Descent NIPS 2022
Stability and Generalization for Markov Chain Stochastic Gradient Methods NIPS 2022
Differentially Private Generalized Linear Models Revisited NIPS 2022
Differentially Private Pairwise Learning Revisited IJCAI 2021
What Makes Multi-Modal Learning Better than Single (Provably) NIPS 2021
Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime JMLR 2021
Information-Theoretic Understanding of Population Risk Improvement with Model Compression AAAI 2020
Agnostic Learning of a Single Neuron with Gradient Descent NIPS 2020
The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NIPS 2019
Scalable Approximations for Generalized Linear Problems JMLR 2019
On the Local Minima of the Empirical Risk NIPS 2018
A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics COLT 2017