Gautam Dasarathy
16 papers · 2011–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (29) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🧭
Keyword Pioneer
🗃️
Keyword Collector
(82)
📈
Trend Setter
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(15)
Core Methods
(9)
Optimization & Theory
(8)
Learning Types
(7)
Artificial Intelligence
(4)
Mathematics & Optimization
(4)
Application Areas
(4)
Optimization
(4)
Data Science & Analytics
(2)
Applications
(2)
Learning Paradigms
(2)
Computer Science
(1)
Deep Learning
(1)
Healthcare & Medicine
(1)
Architectures
(1)
Keywords
active learning
(5)
multi-armed bandit
(4)
regret bound
(3)
upper confidence bound
(2)
experimental design
(2)
adaptive sampling
(2)
multi-fidelity optimization
(2)
graph signal
(2)
model selection
(1)
feature selection
(1)
stochastic gradient descent
(1)
graph theory
(1)
sample complexity
(1)
distributed learning
(1)
online advertising
(1)
spectral clustering
(1)
sparse recovery
(1)
graph structure
(1)
community detection
(1)
topological data analysis
(1)
Papers
Matched-Pair Experimental Design with Active Learning
UAI 2026
A label efficient two-sample test
UAI 2022
Learning the Structure of Large Networked Systems Obeying Conservation Laws
NeurIPS 2022
Maximizing and Satisficing in Multi-armed Bandits with Graph Information
NeurIPS 2022
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model
AISTATS 2021
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model
ECCV 2020
Finding the Homology of Decision Boundaries with Active Learning
NeurIPS 2020
Regularization via Structural Label Smoothing
AISTATS 2020
Thresholding Graph Bandits with GrAPL
AISTATS 2020
A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery
ICLR 2019
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
ICML 2018
Multi-fidelity Bayesian Optimisation with Continuous Approximations
ICML 2017
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
NeurIPS 2016
The Multi-fidelity Multi-armed Bandit
NeurIPS 2016
S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification
COLT 2015
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities
AISTATS 2011