Search Results for author: Orestis Plevrakis

Found 4 papers, 0 papers with code

Learning from Censored and Dependent Data: The case of Linear Dynamics

no code implementations11 Apr 2021 Orestis Plevrakis

In our analysis, we consider a "generic" Online Newton method, which uses arbitrary vectors instead of gradients, and we prove an error-bound for it.

Geometric Exploration for Online Control

no code implementations NeurIPS 2020 Orestis Plevrakis, Elad Hazan

We study the control of an \emph{unknown} linear dynamical system under general convex costs.

Over-parameterized Adversarial Training: An Analysis Overcoming the Curse of Dimensionality

no code implementations NeurIPS 2020 Yi Zhang, Orestis Plevrakis, Simon S. Du, Xingguo Li, Zhao Song, Sanjeev Arora

Our work proves convergence to low robust training loss for \emph{polynomial} width instead of exponential, under natural assumptions and with the ReLU activation.

A Theoretical Analysis of Contrastive Unsupervised Representation Learning

no code implementations25 Feb 2019 Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak, Orestis Plevrakis, Nikunj Saunshi

This framework allows us to show provable guarantees on the performance of the learned representations on the average classification task that is comprised of a subset of the same set of latent classes.

Contrastive Learning General Classification +1

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