Justin Khim

Publication Activity (10 Years)

Years Active: 2015-2021
Publications (10 Years): 13

Top Topics

Support Vector Machine

Nearest Neighbor

Multiclass Classification

Binary Classification

Top Venues

Publications

Vishwak Srinivasan, Justin Khim, Arindam Banerjee, Pradeep Ravikumar
Subseasonal climate prediction in the western US using Bayesian spatial models. UAI (2021)
Shashank Singh, Justin Khim
Statistical Theory for Imbalanced Binary Classification. CoRR (2021)
Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
Class-Weighted Classification: Trade-offs and Robust Approaches. CoRR (2020)
Juyong Kim, Linyuan Gong, Justin Khim, Jeremy C. Weiss, Pradeep Ravikumar
Improved Clinical Abbreviation Expansion via Non-Sense-Based Approaches. ML4H@NeurIPS (2020)
Ziyu Xu, Chen Dan, Justin Khim, Pradeep Ravikumar
Class-Weighted Classification: Trade-offs and Robust Approaches. ICML (2020)
Justin Khim, Ziyu Xu, Shashank Singh
Multiclass Classification via Class-Weighted Nearest Neighbors. CoRR (2020)
Justin Khim, Liu Leqi, Adarsh Prasad, Pradeep Ravikumar
Uniform Convergence of Rank-weighted Learning. ICML (2020)
Justin Khim, Varun S. Jog, Po-Ling Loh
Adversarial Influence Maximization. ISIT (2019)
Justin Khim, Po-Ling Loh
Adversarial Risk Bounds for Binary Classification via Function Transformation. CoRR (2018)
Justin Khim, Po-Ling Loh
Confidence Sets for the Source of a Diffusion in Regular Trees. IEEE Trans. Netw. Sci. Eng. 4 (1) (2017)
Justin Khim, Po-Ling Loh
Permutation Tests for Infection Graphs. CoRR (2017)
Justin Khim, Varun S. Jog, Po-Ling Loh
Computationally Efficient Influence Maximization in Stochastic and Adversarial Models: Algorithms and Analysis. CoRR (2016)
Justin Khim, Po-Ling Loh
Confidence Sets for the Source of a Diffusion in Regular Trees. CoRR (2015)