Ramya Korlakai Vinayak

According to our database1, Ramya Korlakai Vinayak authored at least 21 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences.
CoRR, 2024

Pearls from Pebbles: Improved Confidence Functions for Auto-labeling.
CoRR, 2024

Metric Learning from Limited Pairwise Preference Comparisons.
CoRR, 2024

Taming False Positives in Out-of-Distribution Detection with Human Feedback.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Learning Populations of Preferences via Pairwise Comparison Queries.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Limitations of Face Image Generation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Unbiased Face Synthesis With Diffusion Models: Are We There Yet?
CoRR, 2023

Promises and Pitfalls of Threshold-based Auto-labeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling.
CoRR, 2022

One for All: Simultaneous Metric and Preference Learning over Multiple Users.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Preference Distributions From Distance Measurements.
Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics.
CoRR, 2021

2020
Estimating the Number and Effect Sizes of Non-null Hypotheses.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Optimal Estimation of Change in a Population of Parameters.
CoRR, 2019

The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data.
Proceedings of the World Wide Web Conference, 2019

Maximum Likelihood Estimation for Learning Populations of Parameters.
Proceedings of the 36th International Conference on Machine Learning, 2019

2017
Tensor-based crowdsourced clustering via triangle queries.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Crowdsourced Clustering: Querying Edges vs Triangles.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Similarity clustering in the presence of outliers: Exact recovery via convex program.
Proceedings of the IEEE International Symposium on Information Theory, 2016

2014
Graph Clustering With Missing Data: Convex Algorithms and Analysis.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sharp performance bounds for graph clustering via convex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2014


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