Kush R Varshney
6 papers · 2017–2022 · 2 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge π Cross-Pollinator (15)
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Trend Setter
Conferences
NIPS (5)
IJCAI (1)
Top co-authors
Keywords
interpretable machine learning
(2)
data transformation
(1)
convex optimization
(1)
collaborative filtering
(1)
model safety
(1)
feature attribution
(1)
low-rank approximation
(1)
alternating minimization
(1)
implicit feedback
(1)
tensor completion
(1)
regret bound
(1)
bias mitigation
(1)
decision tree
(1)
influence function
(1)
recommender system
(1)
positive-unlabeled learning
(1)
demographic parity
(1)
demand forecasting
(1)
optimization problem
(1)
universal approximator
(1)
Papers
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NIPS 2022
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
NIPS 2022
CoFrNets: Interpretable Neural Architecture Inspired by Continued Fractions
NIPS 2021
Inspection of Blackbox Models for Evaluating Vulnerability in Maternal, Newborn, and Child Health
IJCAI 2020
Optimized Pre-Processing for Discrimination Prevention
NIPS 2017
Scalable Demand-Aware Recommendation
NIPS 2017