Dima Kuzmin

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 8

Top Topics

Top Venues

Publications

Sumanth Doddapaneni, Krishna Sayana, Ambarish Jash, Sukhdeep S. Sodhi, Dima Kuzmin
User Embedding Model for Personalized Language Prompting. CoRR (2024)
Judith Yue Li, Aren Jansen, Qingqing Huang, Joonseok Lee, Ravi Ganti, Dima Kuzmin
MAQA: A Multimodal QA Benchmark for Negation. CoRR (2023)
Naveen Ram, Dima Kuzmin, Ellie Ka In Chio, Moustafa Farid Alzantot, Santiago Ontañón, Ambarish Jash, Judith Yue Li
Multi-Task End-to-End Training Improves Conversational Recommendation. CoRR (2023)
Kun Su, Judith Yue Li, Qingqing Huang, Dima Kuzmin, Joonseok Lee, Chris Donahue, Fei Sha, Aren Jansen, Yu Wang, Mauro Verzetti, Timo I. Denk
V2Meow: Meowing to the Visual Beat via Music Generation. CoRR (2023)
Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. KDD (2021)
Sukhdeep S. Sodhi, Ellie Ka In Chio, Ambarish Jash, Santiago Ontañón, Ajit Apte, Ankit Kumar, Ayooluwakunmi Jeje, Dima Kuzmin, Harry Fung, Heng-Tze Cheng, Jon Effrat, Tarush Bali, Nitin Jindal, Pei Cao, Sarvjeet Singh, Senqiang Zhou, Tameen Khan, Amol Wankhede, Moustafa Alzantot, Allen Wu, Tushar Chandra
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries. CoRR (2021)
Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CoRR (2020)
Tao Wu, Ellie Ka In Chio, Heng-Tze Cheng, Yu Du, Steffen Rendle, Dima Kuzmin, Ritesh Agarwal, Li Zhang, John R. Anderson, Sarvjeet Singh, Tushar Chandra, Ed H. Chi, Wen Li, Ankit Kumar, Xiang Ma, Alex Soares, Nitin Jindal, Pei Cao
Zero-Shot Heterogeneous Transfer Learning from Recommender Systems to Cold-Start Search Retrieval. CIKM (2020)
Manfred K. Warmuth, Dima Kuzmin
A Bayesian Probability Calculus for Density Matrices. CoRR (2014)
Manfred K. Warmuth, Dima Kuzmin
Online variance minimization. Mach. Learn. 87 (1) (2012)
Manfred K. Warmuth, Dima Kuzmin
Bayesian generalized probability calculus for density matrices. Mach. Learn. 78 (1-2) (2010)
Dima Kuzmin, Manfred K. Warmuth
Online kernel PCA with entropic matrix updates. ICML (2007)
Dima Kuzmin, Manfred K. Warmuth
Unlabeled Compression Schemes for Maximum Classes. J. Mach. Learn. Res. 8 (2007)
Manfred K. Warmuth, Dima Kuzmin
A Bayesian Probability Calculus for Density Matrices. UAI (2006)
Manfred K. Warmuth, Dima Kuzmin
Online Variance Minimization. COLT (2006)
Manfred K. Warmuth, Dima Kuzmin
Randomized PCA Algorithms with Regret Bounds that are Logarithmic in the Dimension. NIPS (2006)
Dima Kuzmin, Manfred K. Warmuth
Optimum Follow the Leader Algorithm. COLT (2005)
Dima Kuzmin, Manfred K. Warmuth
Unlabeled Compression Schemes for Maximum Classes, . COLT (2005)