Parikshit Gopalan
12 papers · 2012–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (13) π Cross-Pollinator (3)
πΊοΈ
Taxonomy Completionist
(16)
π
Conference Polyglot
(5)
π
Century Club
(12)
β
The Questioner
π
Trend Setter
Conferences
NIPS (5)
COLT (4)
ALT (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
learning theory
(2)
anomaly detection
(2)
agnostic learning
(2)
binary classification
(1)
logistic regression
(1)
density estimation
(1)
bregman divergence
(1)
outlier detection
(1)
lipchitz function
(1)
streaming algorithm
(1)
convex loss
(1)
halfspace learning
(1)
query learning
(1)
query complexity
(1)
matrix sketching
(1)
sample complexity
(1)
boolean function
(1)
deep neural network
(1)
principal component analysis
(1)
algorithmic fairness
(1)
Papers
Learning to Route LLMs with Confidence Tokens
ICML 2025
Provable Uncertainty Decomposition via Higher-Order Calibration
ICLR 2025
Omnipredictors for regression and the approximate rank of convex functions
COLT 2024
On Computationally Efficient Multi-Class Calibration
COLT 2024
When Does Optimizing a Proper Loss Yield Calibration?
NIPS 2023
Agnostically Learning Single-Index Models using Omnipredictors
NIPS 2023
Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
NIPS 2023
Multicalibrated Partitions for Importance Weights
ALT 2022
Low-Degree Multicalibration
COLT 2022
PIDForest: Anomaly Detection via Partial Identification
NIPS 2019
Efficient Anomaly Detection via Matrix Sketching
NIPS 2018
Learning Functions of Halfspaces Using Prefix Covers
COLT 2012