Ramya Korlakai Vinayak

According to our database, Ramya Korlakai Vinayak authored at least 36 papers between 2014 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GRASP: Graph Agentic Search over Propositions for Multi-hop Question Answering.

Stockton Jenkins, Ramya Korlakai Vinayak, Junjie Hu

CoRR, May, 2026

Grounded Token Initialization for New Vocabulary in LMs for Generative Recommendation.

Daiwei Chen, Zhoutong Fu, Chengming Jiang, Haichao Zhang, Ran Zhou, Tan Wang, Chunnan Yao, Guoyao Li, Rui Cai, Yihan Cao, Ruijie Jiang, Fedor Borisyuk, Jianqiang Shen, Jingwei Wu, Ramya Korlakai Vinayak

CoRR, April, 2026

Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights.

Yi Chen, Daiwei Chen, Sukrut Madhav Chikodikar, Caitlyn Heqi Yin, Ramya Korlakai Vinayak

CoRR, March, 2026

Almost Asymptotically Optimal Active Clustering Through Pairwise Observations.

Rachel S. Y. Teo, P. N. Karthik, Ramya Korlakai Vinayak, Vincent Y. F. Tan

CoRR, February, 2026

CounterFace: A Synthetic Face Dataset for Fine-Grained Counterfactual Evaluation of Face Recognition Systems.

Guruprasad Viswanathan Ramesh, Ashish Hooda, Shimaa Ahmed, Harrison J. Rosenberg, Ramya Korlakai Vinayak, Kassem Fawaz

Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

Agentic Very Long Video Understanding.

Aniket Rege, Arka Sadhu, Yuliang Li, Kejie Li, Ramya Korlakai Vinayak, Yuning Chai, Yong Jae Lee, Hyo Jin Kim

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure.

Zhi Wang, Chicheng Zhang, Ramya Korlakai Vinayak

CoRR, November, 2025

Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection.

Daisuke Yamada, Harit Vishwakarma, Ramya Korlakai Vinayak

CoRR, May, 2025

Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias.

Yi Chen, Ramya Korlakai Vinayak

Proceedings of the ACM on Web Conference 2025, 2025

Metric Learning in an RKHS.

Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL.

Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi GNVV, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala

Proceedings of the Forty-second International Conference on Machine Learning, 2025

PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment.

Daiwei Chen, Yi Chen, Aniket Rege, Zhi Wang, Ramya Korlakai Vinayak

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems.

Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati, Yong Jae Lee, Ramya Korlakai Vinayak

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences.

Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak

CoRR, 2024

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

Harit Vishwakarma, Reid Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

CoRR, 2024

Metric Learning from Limited Pairwise Preference Comparisons.

Zhi Wang, Geelon So, Ramya Korlakai Vinayak

Proceedings of the Uncertainty in Artificial Intelligence, 2024

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

Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Metric Clustering From Triplet Comparisons.

Gokcan Tatli, Ramya Korlakai Vinayak

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

Taming False Positives in Out-of-Distribution Detection with Human Feedback.

Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Learning Populations of Preferences via Pairwise Comparison Queries.

Gokcan Tatli, Yi Chen, Ramya Korlakai Vinayak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

Limitations of Face Image Generation.

Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Kassem Fawaz, Ramya Korlakai Vinayak

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

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

Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Ramya Korlakai Vinayak, Kassem Fawaz

CoRR, 2023

Promises and Pitfalls of Threshold-based Auto-labeling.

Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak

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.

Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak

CoRR, 2022

One for All: Simultaneous Metric and Preference Learning over Multiple Users.

Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak

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.

Gokcan Tatli, Robert D. Nowak, Ramya Korlakai Vinayak

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.

Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han

CoRR, 2021

2020

Estimating the Number and Effect Sizes of Non-null Hypotheses.

Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Optimal Estimation of Change in a Population of Parameters.

Ramya Korlakai Vinayak, Weihao Kong, Sham M. Kakade

CoRR, 2019

The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data.

Gabriel Cadamuro, Ramya Korlakai Vinayak, Joshua Blumenstock, Sham M. Kakade, Jacob N. Shapiro

Proceedings of the World Wide Web Conference, 2019

Maximum Likelihood Estimation for Learning Populations of Parameters.

Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade

Proceedings of the 36th International Conference on Machine Learning, 2019

2017

Tensor-based crowdsourced clustering via triangle queries.

Ramya Korlakai Vinayak, Tijana Zrnic, Babak Hassibi

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Crowdsourced Clustering: Querying Edges vs Triangles.

Ramya Korlakai Vinayak, Babak Hassibi

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.

Ramya Korlakai Vinayak, Babak Hassibi

Proceedings of the IEEE International Symposium on Information Theory, 2016

2014

Graph Clustering With Missing Data: Convex Algorithms and Analysis.

Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi

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.

Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi

Proceedings of the IEEE International Conference on Acoustics, 2014