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Efficient Continual Finite-Sum Minimization

Volkan Cevher, Efstratios Panteleimon Skoulakis, Leello Tadesse Dadi

Given a sequence of functions

f_1,\ldots,f_n

with

f_i:\mathcal{D}\mapsto \mathbb{R}

, finite-sum minimization seeks a point

{x}^\star \in \mathcal{D}

minimizing

\sum_{j=1}^nf_j(x)/n

. In this work, we propose a key twist into the finite-sum minimizat ...

2024

Volkan Cevher

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On the Generalization of Stochastic Gradient Descent with Momentum

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Efficient local linearity regularization to overcome catastrophic overfitting

Revisiting Character-level Adversarial Attacks for Language Models

Efficient Continual Finite-Sum Minimization

Generalization of Scaled Deep ResNets in the Mean-Field Regime

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Robust NAS under adversarial training: benchmark, theory, and beyond

Improving SAM Requires Rethinking its Optimization Formulation

Learning to Remove Cuts in Integer Linear Programming

Robust NAS under adversarial training: benchmark, theory, and beyond

Revisiting Character-level Adversarial Attacks for Language Models

Learning to Remove Cuts in Integer Linear Programming

On the Generalization of Stochastic Gradient Descent with Momentum

Improving SAM Requires Rethinking its Optimization Formulation

Efficient Continual Finite-Sum Minimization

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Efficient local linearity regularization to overcome catastrophic overfitting

High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization

Generalization of Scaled Deep ResNets in the Mean-Field Regime