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ORCIDRamya Korlakai Vinayak
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2020 – today
- 2024
[c15]Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Kassem Fawaz, Ramya Korlakai Vinayak:
Limitations of Face Image Generation. AAAI 2024: 14838-14846- [c14]Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak:
Taming False Positives in Out-of-Distribution Detection with Human Feedback. AISTATS 2024: 1486-1494 - [c13]Gokcan Tatli, Yi Chen, Ramya Korlakai Vinayak:
Learning Populations of Preferences via Pairwise Comparison Queries. AISTATS 2024: 1720-1728 - [c12]Gokcan Tatli, Ramya Korlakai Vinayak:
Metric Clustering From Triplet Comparisons. Allerton 2024: 1-8 - [i11]Zhi Wang, Geelon So, Ramya Korlakai Vinayak:
Metric Learning from Limited Pairwise Preference Comparisons. CoRR abs/2403.19629 (2024) - [i10]Harit Vishwakarma, Reid Chen, Sui Jiet Tay, Satya Sai Srinath Namburi, Frederic Sala, Ramya Korlakai Vinayak:
Pearls from Pebbles: Improved Confidence Functions for Auto-labeling. CoRR abs/2404.16188 (2024) - [i9]Harit Vishwakarma, Heguang Lin, Ramya Korlakai Vinayak:
Taming False Positives in Out-of-Distribution Detection with Human Feedback. CoRR abs/2404.16954 (2024) - [i8]Daiwei Chen, Yi Chen, Aniket Rege, Ramya Korlakai Vinayak:
PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences. CoRR abs/2406.08469 (2024) - 2023
- [c11]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Promises and Pitfalls of Threshold-based Auto-labeling. NeurIPS 2023 - [i7]Harrison Rosenberg, Shimaa Ahmed, Guruprasad V. Ramesh, Ramya Korlakai Vinayak, Kassem Fawaz:
Unbiased Face Synthesis With Diffusion Models: Are We There Yet? CoRR abs/2309.07277 (2023) - 2022
- [c10]Gokcan Tatli, Robert D. Nowak, Ramya Korlakai Vinayak:
Learning Preference Distributions From Distance Measurements. Allerton 2022: 1-8 - [c9]Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. NeurIPS 2022 - [i6]Gregory Canal, Blake Mason, Ramya Korlakai Vinayak, Robert D. Nowak:
One for All: Simultaneous Metric and Preference Learning over Multiple Users. CoRR abs/2207.03609 (2022) - [i5]Harit Vishwakarma, Heguang Lin, Frederic Sala, Ramya Korlakai Vinayak:
Good Data from Bad Models : Foundations of Threshold-based Auto-labeling. CoRR abs/2211.12620 (2022) - 2021
- [i4]Zhen Miao, Weihao Kong, Ramya Korlakai Vinayak, Wei Sun, Fang Han:
Fisher-Pitman permutation tests based on nonparametric Poisson mixtures with application to single cell genomics. CoRR abs/2106.03022 (2021) - 2020
- [c8]Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson:
Estimating the Number and Effect Sizes of Non-null Hypotheses. ICML 2020: 1123-1133 - [i3]Jennifer Brennan, Ramya Korlakai Vinayak, Kevin Jamieson:
Estimating the number and effect sizes of non-null hypotheses. CoRR abs/2002.07297 (2020)
2010 – 2019
- 2019
- [c7]Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade:
Maximum Likelihood Estimation for Learning Populations of Parameters. ICML 2019: 6448-6457 - [c6]Gabriel Cadamuro, Ramya Korlakai Vinayak, Joshua Blumenstock, Sham M. Kakade, Jacob Shapiro
:
The Illusion of Change: Correcting for Biases in Change Inference for Sparse, Societal-Scale Data. WWW 2019: 2608-2615 - [i2]Ramya Korlakai Vinayak, Weihao Kong, Gregory Valiant, Sham M. Kakade:
Maximum Likelihood Estimation for Learning Populations of Parameters. CoRR abs/1902.04553 (2019) - [i1]Ramya Korlakai Vinayak, Weihao Kong, Sham M. Kakade:
Optimal Estimation of Change in a Population of Parameters. CoRR abs/1911.12568 (2019) - 2017
- [c5]Ramya Korlakai Vinayak, Tijana Zrnic, Babak Hassibi:
Tensor-based crowdsourced clustering via triangle queries. ICASSP 2017: 2322-2326 - 2016
- [c4]Ramya Korlakai Vinayak, Babak Hassibi:
Similarity clustering in the presence of outliers: Exact recovery via convex program. ISIT 2016: 91-95 - [c3]Ramya Korlakai Vinayak, Babak Hassibi:
Crowdsourced Clustering: Querying Edges vs Triangles. NIPS 2016: 1316-1324 - 2014
- [c2]Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi:
Sharp performance bounds for graph clustering via convex optimization. ICASSP 2014: 8297-8301 - [c1]Ramya Korlakai Vinayak, Samet Oymak, Babak Hassibi:
Graph Clustering With Missing Data: Convex Algorithms and Analysis. NIPS 2014: 2996-3004
Coauthor Index
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