← Authors

Gautam Dasarathy

15 papers · 2011–2022 · 7 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (5) 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (28) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (7) πŸƒ Academic Marathon (11) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸ—ƒοΈ Keyword Collector (69) πŸ’Ž Century Club (15) πŸ”₯ Unstoppable (8) πŸ“ˆ Trend Setter

Conferences

NIPS (5) AISTATS (4) ICML (2) COLT (1) ECCV (1) ICLR (1) UAI (1)

Top co-authors

Kirthevasan Kandasamy (3) Weizhi Li (3) Jeff Schneider (3) Visar Berisha (3) BarnabΓ‘s PΓ³czos (3) Parth Thaker (2) Daniel LeJeune (2) Karthikeyan Natesan Ramamurthy (2) Ryan Spring (1) Ali Mousavi (1)

Keywords

active learning (4) multi-armed bandit (4) regret bound (3) multi-fidelity optimization (2) adaptive sampling (2) upper confidence bound (2) graph signal (2) online learning (1) sample complexity (1) model selection (1) graph theory (1) working memory (1) hierarchical clustering (1) topological data analysis (1) feature selection (1) stochastic gradient descent (1) maximum likelihood (1) spectral clustering (1) gaussian process (1) community detection (1)

Papers

Learning the Structure of Large Networked Systems Obeying Conservation Laws NIPS 2022
A label efficient two-sample test UAI 2022
Maximizing and Satisficing in Multi-armed Bandits with Graph Information NIPS 2022
Graph Community Detection from Coarse Measurements: Recovery Conditions for the Coarsened Weighted Stochastic Block Model AISTATS 2021
Thresholding Graph Bandits with GrAPL AISTATS 2020
Finding the Homology of Decision Boundaries with Active Learning NIPS 2020
Regularization via Structural Label Smoothing AISTATS 2020
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model ECCV 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 NIPS 2016
The Multi-fidelity Multi-armed Bandit NIPS 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