Shashank Singh
16 papers · 2014–2023 · 4 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(76)
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
📈
Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(14)
Mathematics & Optimization
(9)
Mathematics
(7)
Core Methods
(6)
Optimization
(5)
Learning Types
(3)
Application Areas
(2)
Bayesian & Probabilistic · Machine Learning
(2)
Statistics
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Applications
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core AI
(1)
Keywords
density estimation
(7)
nonparametric estimation
(6)
minimax rate
(4)
besov space
(3)
nonparametric statistics
(3)
optimal transport
(2)
minimax convergence
(2)
density functional
(2)
generative adversarial network
(2)
k-nearest neighbor
(2)
distribution estimation
(2)
mutual information
(2)
entropy estimation
(2)
renyi divergence
(2)
domain generalization
(2)
concentration inequality
(2)
nonparametric density estimation
(2)
divergence estimation
(2)
finite-sample guarantee
(2)
two-sample test
(1)
Papers
Nonparametric Indirect Active Learning
AISTATS 2023
Spuriosity Didn’t Kill the Classifier: Using Invariant Predictions to Harness Spurious Features
NeurIPS 2023
Optimal Binary Classification Beyond Accuracy
NeurIPS 2022
Probable Domain Generalization via Quantile Risk Minimization
NeurIPS 2022
Continuum-Armed Bandits: A Function Space Perspective
AISTATS 2021
Interpretable Sequence Learning for Covid-19 Forecasting
NeurIPS 2020
Robust Density Estimation under Besov IPM Losses
NeurIPS 2020
Nonparametric Density Estimation & Convergence Rates for GANs under Besov IPM Losses
NeurIPS 2019
Minimax Reconstruction Risk of Convolutional Sparse Dictionary Learning
AISTATS 2018
Nonparametric Density Estimation under Adversarial Losses
NeurIPS 2018
Nonparanormal Information Estimation
ICML 2017
Efficient Nonparametric Smoothness Estimation
NeurIPS 2016
Finite-Sample Analysis of Fixed-k Nearest Neighbor Density Functional Estimators
NeurIPS 2016
Exponential Concentration of a Density Functional Estimator
NeurIPS 2014
Generalized Exponential Concentration Inequality for Renyi Divergence Estimation
ICML 2014
Torturing Databases for Fun and Profit
OSDI 2014