Justin Khim

13 papers A* 2A 1B 1Journal 8Unranked 1

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