Kiran Vodrahalli

25 papers A* 5B 2Journal 14Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Next-Token Prediction and Regret Minimization. CoRR Mehryar Mohri, Clayton Sanford, Jon Schneider, Kiran Vodrahalli, Yifan Wu
2026	J	`jnl`	The PokeAgent Challenge: Competitive and Long-Context Learning at Scale. CoRR Seth Karten, Jake Grigsby, Tersoo Upaa Jr, Junik Bae, Seonghun Hong, Hyunyoung Jeong, Jaeyoon Jung, Kun Kerdthaisong, Gyungbo Kim, Hyeokgi Kim, Yujin Kim, Eunju Kwon, Dongyu Liu, Patrick Mariglia, Sangyeon Park, Benedikt Schink, Xianwei Shi, Anthony Sistilli, Joseph Twin, Arian Urdu, Matin Urdu, Qiao Wang, Ling Wu, Wenli Zhang, Kunsheng Zhou, Stephanie Milani, Kiran Vodrahalli, Amy Zhang, Fei Fang, Yuke Zhu, Chi Jin
2024	J	`jnl`	Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR 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
2024	A*	`conf`	Online Learning with Bounded Recall. ICML Jon Schneider, Kiran Vodrahalli
2023	A*	`conf`	Is Learning in Games Good for the Learners? NeurIPS William Brown, Jon Schneider, Kiran Vodrahalli
2023	J	`jnl`	Is Learning in Games Good for the Learners? CoRR William Brown, Jon Schneider, Kiran Vodrahalli
2022	J	`jnl`	Algorithms for Efficiently Learning Low-Rank Neural Networks. CoRR Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi
2022	J	`jnl`	History-Restricted Online Learning. CoRR Jon Schneider, Kiran Vodrahalli
2022	—	`—`	Resource-Efficient Methods in Machine Learning Kiran Vodrahalli
2021	J	`jnl`	Learning and planning with logical automata. Auton. Robots Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian-Ioan Vasile, Mark Donahue, Daniela Rus
2021	A*	`conf`	The Logical Options Framework. ICML Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus
2021	J	`jnl`	The Logical Options Framework. CoRR Brandon Araki, Xiao Li, Kiran Vodrahalli, Jonathan A. DeCastro, Micah J. Fry, Daniela Rus
2021	—	`conf`	The Platform Design Problem. WINE Christos Harilaos Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis
2020	A*	`conf`	Deep Bayesian Nonparametric Learning of Rules and Plans from Demonstrations with a Learned Automaton Prior. AAAI Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus
2020	J	`jnl`	The Platform Design Problem. CoRR Christos H. Papadimitriou, Kiran Vodrahalli, Mihalis Yannakakis
2019	B	`conf`	Attribute-efficient learning of monomials over highly-correlated variables. ALT Alexandr Andoni, Rishabh Dudeja, Daniel Hsu, Kiran Vodrahalli
2019	—	`conf`	Learning to Plan with Logical Automata. Robotics: Science and Systems Brandon Araki, Kiran Vodrahalli, Thomas Leech, Cristian Ioan Vasile, Mark Donahue, Daniela Rus
2019	J	`jnl`	Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. CoRR Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
2019	J	`jnl`	Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform. ACM SIGOPS Oper. Syst. Rev. Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
2019	A*	`conf`	Privacy accounting and quality control in the sage differentially private ML platform. SOSP Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu
2018	—	`conf`	A Compressed Sensing View of Unsupervised Text Embeddings, Bag-of-n-Grams, and LSTMs. ICLR (Poster) Sanjeev Arora, Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli
2018	B	`conf`	A Large Self-Annotated Corpus for Sarcasm. LREC Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli
2018	J	`jnl`	Mapping between fMRI responses to movies and their natural language annotations. NeuroImage 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
2017	J	`jnl`	A Large Self-Annotated Corpus for Sarcasm. CoRR Mikhail Khodak, Nikunj Saunshi, Kiran Vodrahalli
2016	J	`jnl`	Mapping Between Natural Movie fMRI Responses and Word-Sequence Representations. CoRR Kiran Vodrahalli, Po-Hsuan Chen, Yingyu Liang, Janice Chen, Esther Yong, Christopher J. Honey, Peter J. Ramadge, Kenneth A. Norman, Sanjeev Arora