Monath, Nicholas

16 publications

AISTATS 2025 Fundamental Limits of Perfect Concept Erasure Somnath Basu Roy Chowdhury, Kumar Avinava Dubey, Ahmad Beirami, Rahul Kidambi, Nicholas Monath, Amr Ahmed, Snigdha Chaturvedi

ICML 2024 A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks Nicholas Monath, Will Sussman Grathwohl, Michael Boratko, Rob Fergus, Andrew Mccallum, Manzil Zaheer

ICLR 2024 Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum

ICLR 2024 Enhancing Group Fairness in Online Settings Using Oblique Decision Forests Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami, Rahul Kidambi, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

TMLR 2024 Incremental Extractive Opinion Summarization Using Cover Trees Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Manzil Zaheer, Andrew McCallum, Amr Ahmed, Snigdha Chaturvedi

AISTATS 2023 Improving Dual-Encoder Training Through Dynamic Indexes for Negative Mining Nicholas Monath, Manzil Zaheer, Kelsey Allen, Andrew Mccallum

NeurIPS 2023 Robust Concept Erasure via Kernelized Rate-Distortion Maximization Somnath Basu Roy Chowdhury, Nicholas Monath, Kumar Avinava Dubey, Amr Ahmed, Snigdha Chaturvedi

AAAI 2022 An Evaluative Measure of Clustering Methods Incorporating Hyperparameter Sensitivity Siddhartha Mishra, Nicholas Monath, Michael Boratko, Ariel Kobren, Andrew McCallum

ICML 2022 Interactive Correlation Clustering with Existential Cluster Constraints Rico Angell, Nicholas Monath, Nishant Yadav, Andrew Mccallum

AAAI 2022 Sublinear Time Approximation of Text Similarity Matrices Archan Ray, Nicholas Monath, Andrew McCallum, Cameron Musco

AISTATS 2021 Cluster Trellis: Data Structures & Algorithms for Exact Inference in Hierarchical Clustering Sebastian Macaluso, Craig Greenberg, Nicholas Monath, Ji Ah Lee, Patrick Flaherty, Kyle Cranmer, Andrew McGregor, Andrew McCallum

AISTATS 2021 DAG-Structured Clustering by Nearest Neighbors Nicholas Monath, Manzil Zaheer, Kumar Avinava Dubey, Amr Ahmed, Andrew McCallum

NeurIPS 2021 Capacity and Bias of Learned Geometric Embeddings for Directed Graphs Michael Boratko, Dongxu Zhang, Nicholas Monath, Luke Vilnis, Kenneth L Clarkson, Andrew McCallum

UAI 2021 Exact and Approximate Hierarchical Clustering Using A* Craig S. Greenberg, Sebastian Macaluso, Nicholas Monath, Avinava Dubey, Patrick Flaherty, Manzil Zaheer, Amr Ahmed, Kyle Cranmer, Andrew McCallum

ICML 2019 Supervised Hierarchical Clustering with Exponential Linkage Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew Mccallum

NeurIPS 2018 Compact Representation of Uncertainty in Clustering Craig Greenberg, Nicholas Monath, Ari Kobren, Patrick Flaherty, Andrew McGregor, Andrew McCallum