Ramya Korlakai Vinayak

39 papers A* 10A 4B 1Misc 2Journal 18Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Very Long Video Understanding. CoRR Aniket Rege, Arka Sadhu, Yuliang Li, Kejie Li, Ramya Korlakai Vinayak, Yuning Chai, Yong Jae Lee, Hyo Jin Kim
2026	J	`jnl`	Almost Asymptotically Optimal Active Clustering Through Pairwise Observations. CoRR Rachel S. Y. Teo, P. N. Karthik, Ramya Korlakai Vinayak, Vincent Y. F. Tan
2026	J	`jnl`	Is Conformal Factuality for RAG-based LLMs Robust? Novel Metrics and Systematic Insights. CoRR Yi Chen, Daiwei Chen, Sukrut Madhav Chikodikar, Caitlyn Heqi Yin, Ramya Korlakai Vinayak
2025	J	`jnl`	Adaptive Scoring and Thresholding with Human Feedback for Robust Out-of-Distribution Detection. CoRR Daisuke Yamada, Harit Vishwakarma, Ramya Korlakai Vinayak
2025	J	`jnl`	Bridging Lifelong and Multi-Task Representation Learning via Algorithm and Complexity Measure. CoRR Zhi Wang, Chicheng Zhang, Ramya Korlakai Vinayak
2025	J	`jnl`	CuRe: Cultural Gaps in the Long Tail of Text-to-Image Systems. CoRR Aniket Rege, Zinnia Nie, Mahesh Ramesh, Unmesh Raskar, Zhuoran Yu, Aditya Kusupati, Yong Jae Lee, Ramya Korlakai Vinayak
2025	A	`conf`	Metric Learning in an RKHS. UAI Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak
2025	J	`jnl`	Metric Learning in an RKHS. CoRR Gokcan Tatli, Yi Chen, Blake Mason, Robert D. Nowak, Ramya Korlakai Vinayak
2025	A*	`conf`	PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment. ICLR Daiwei Chen, Yi Chen, Aniket Rege, Zhi Wang, Ramya Korlakai Vinayak
2025	A*	`conf`	Query Design for Crowdsourced Clustering: Effect of Cognitive Overload and Contextual Bias. WWW Yi Chen, Ramya Korlakai Vinayak
2025	A*	`conf`	Rethinking Confidence Scores and Thresholds in Pseudolabeling-based SSL. ICML Harit Vishwakarma, Yi Chen, Satya Sai Srinath Namburi GNVV, Sui Jiet Tay, Ramya Korlakai Vinayak, Frederic Sala
2024	A	`conf`	Learning Populations of Preferences via Pairwise Comparison Queries. AISTATS Gokcan Tatli, Yi Chen, Ramya Korlakai Vinayak
2024	A*	`conf`	Limitations of Face Image Generation. AAAI Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Kassem Fawaz, Ramya Korlakai Vinayak
2024	—	`conf`	Metric Clustering From Triplet Comparisons. Allerton Gokcan Tatli, Ramya Korlakai Vinayak
2024	A	`conf`	Metric Learning from Limited Pairwise Preference Comparisons. UAI Zhi Wang, Geelon So, Ramya Korlakai Vinayak
2024	J	`jnl`	Metric Learning from Limited Pairwise Preference Comparisons. CoRR Zhi Wang, Geelon So, Ramya Korlakai Vinayak
2024	J	`jnl`	PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences. CoRR Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak
2024	A*	`conf`	Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. NeurIPS Harit Vishwakarma, Yi Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak
2024	J	`jnl`	Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. CoRR Harit Vishwakarma, Reid Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak
2024	A	`conf`	Taming False Positives in Out-of-Distribution Detection with Human Feedback. AISTATS Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak
2024	J	`jnl`	Taming False Positives in Out-of-Distribution Detection with Human Feedback. CoRR Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak
2023	A*	`conf`	Promises and Pitfalls of Threshold-based Auto-labeling. NeurIPS Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak
2023	J	`jnl`	Unbiased Face Synthesis With Diffusion Models: Are We There Yet? CoRR Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Ramya Korlakai Vinayak, Kassem Fawaz
2022	J	`jnl`	Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. CoRR Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak
2022	—	`conf`	Learning Preference Distributions From Distance Measurements. Allerton Gokcan Tatli, Robert D. Nowak, Ramya Korlakai Vinayak
2022	A*	`conf`	One for All: Simultaneous Metric and Preference Learning over Multiple Users. NeurIPS Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak
2022	J	`jnl`	One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak
2021	J	`jnl`	Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics. CoRR Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han
2020	A*	`conf`	Estimating the Number and Effect Sizes of Non-null Hypotheses. ICML Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
2020	J	`jnl`	Estimating the number and effect sizes of non-null hypotheses. CoRR Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson
2019	A*	`conf`	Maximum Likelihood Estimation for Learning Populations of Parameters. ICML Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade
2019	J	`jnl`	Maximum Likelihood Estimation for Learning Populations of Parameters. CoRR Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade
2019	J	`jnl`	Optimal Estimation of Change in a Population of Parameters. CoRR Ramya Korlakai Vinayak, Weihao Kong, Sham M. Kakade
2019	A*	`conf`	The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data. WWW Gabriel Cadamuro, Ramya Korlakai Vinayak, Joshua Blumenstock, Sham M. Kakade, Jacob N. Shapiro
2017	Misc	`conf`	Tensor-based crowdsourced clustering via triangle queries. ICASSP Ramya Korlakai Vinayak, Tijana Zrnic, Babak Hassibi
2016	—	`conf`	Crowdsourced Clustering: Querying Edges vs Triangles. NIPS Ramya Korlakai Vinayak, Babak Hassibi
2016	B	`conf`	Similarity clustering in the presence of outliers: Exact recovery via convex program. ISIT Ramya Korlakai Vinayak, Babak Hassibi
2014	—	`conf`	Graph Clustering With Missing Data: Convex Algorithms and Analysis. NIPS Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi
2014	Misc	`conf`	Sharp performance bounds for graph clustering via convex optimization. ICASSP Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi