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Kiran Vodrahalli
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2020 – today
- 2024
- [c10]Jon Schneider, Kiran Vodrahalli:
Online Learning with Bounded Recall. ICML 2024 - [i9]Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska:
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR abs/2409.12640 (2024) - 2023
- [c9]William Brown, Jon Schneider, Kiran Vodrahalli:
Is Learning in Games Good for the Learners? NeurIPS 2023 - [i8]William Brown, Jon Schneider, Kiran Vodrahalli:
Is Learning in Games Good for the Learners? CoRR abs/2305.19496 (2023) - 2022
- [b1]Kiran Vodrahalli:
Resource-Efficient Methods in Machine Learning. Columbia University, USA, 2022 - [i7]Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi:
Algorithms for Efficiently Learning Low-Rank Neural Networks. CoRR abs/2202.00834 (2022) - [i6]Jon Schneider, Kiran Vodrahalli:
History-Restricted Online Learning. CoRR abs/2205.14519 (2022) - 2021
- [j3]Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian-Ioan Vasile, Mark Donahue, Daniela Rus:
Learning and planning with logical automata. Auton. Robots 45(7): 1013-1028 (2021) - [c8]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. ICML 2021: 307-317 - [c7]Christos Harilaos Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis:
The Platform Design Problem. WINE 2021: 317-333 - [i5]Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus:
The Logical Options Framework. CoRR abs/2102.12571 (2021) - 2020
- [c6]Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus:
Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior. AAAI 2020: 10026-10034 - [i4]Christos H. Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis:
The Platform Design Problem. CoRR abs/2009.06117 (2020)
2010 – 2019
- 2019
- [j2]Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu:
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. ACM SIGOPS Oper. Syst. Rev. 53(1): 75-84 (2019) - [c5]Alexandr Andoni, Rishabh Dudeja, Daniel Hsu, Kiran Vodrahalli:
Attribute-efficient learning of monomials over highly-correlated variables. ALT 2019: 127-161 - [c4]Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus:
Learning to Plan with Logical Automata. Robotics: Science and Systems 2019 - [c3]Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu:
Privacy accounting and quality control in the sage differentially private ML platform. SOSP 2019: 181-195 - [i3]Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu:
Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. CoRR abs/1909.01502 (2019) - 2018
- [j1]Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Christopher Baldassano, Janice Chen, Esther Yong, Christopher J. Honey, Uri Hasson, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora:
Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 180(Part): 223-231 (2018) - [c2]Sanjeev Arora, Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli:
A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs. ICLR (Poster) 2018 - [c1]Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli:
A Large Self-Annotated Corpus for Sarcasm. LREC 2018 - 2017
- [i2]Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli:
A Large Self-Annotated Corpus for Sarcasm. CoRR abs/1704.05579 (2017) - 2016
- [i1]Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora:
Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR abs/1610.03914 (2016)
Coauthor Index
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