Andrej Risteski

Iterative Feature Matching: Toward Provable Domain Generalization with Logarithmic Environments

2021 · arXiv (Cornell University)

Domain generalization aims at performing well on unseen test environments with data from a limited number of training environments. Despite a proliferation of proposal algorithms for this task, assessing their performance both theoretically and empirically …

A Latent Variable Model Approach to PMI-based Word Embeddings

2016 · Transactions of the Association for Computational Linguistics

Semantic word embeddings represent the meaning of a word via a vector, and are created by diverse methods. Many use nonlinear operations on co-occurrence statistics, and have hand-tuned hyperparameters and reweighting methods. This paper proposes …