Devavrat Shah
40 papers · 2007–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+14 more ↓ Show less ↑
π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (26) π Interdisciplinary Bridge π Renaissance Researcher (7) π£ Hot Topic Early Bird
π
Interdisciplinary Bridge
π£
Hot Topic Early Bird
πΊοΈ
Taxonomy Completionist
(26)
π
Keyword Trendsetter Combo
(5)
π
Conference Loyalist
(26)
π
Keyword Champion
π±
Topic Pioneer
π
Century Club
(40)
β
The Questioner
ποΈ
Keyword Collector
(88)
π
Conference Pioneer
π₯
Unstoppable
(10)
β‘
Prolific Year
(6)
π
Trend Setter
Conferences
NIPS (26)
AISTATS (3)
COLT (2)
ICML (2)
JMLR (2)
L4DC (2)
NSDI (2)
CLEAR (1)
Top co-authors
Research topics
Keywords
combinatorial optimization
(5)
graphical model
(5)
causal inference
(4)
markov random field
(4)
matrix completion
(4)
collaborative filtering
(3)
graph algorithm
(3)
matrix estimation
(3)
singular value thresholding
(3)
preference learning
(3)
parameter estimation
(3)
exponential family
(3)
pairwise comparison
(3)
reinforcement learning
(3)
approximate inference
(2)
online learning
(2)
nearest neighbor
(2)
partition function
(2)
message passing
(2)
map estimation
(2)
Papers
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls
JMLR 2025
Human Expertise in Algorithmic Prediction
NIPS 2024
Matrix Estimation for Individual Fairness
ICML 2023
Counterfactual Identifiability of Bijective Causal Models
ICML 2023
Causal Matrix Completion
COLT 2023
Auditing for Human Expertise
NIPS 2023
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation
NSDI 2023
SAMoSSA: Multivariate Singular Spectrum Analysis with Stochastic Autoregressive Noise
NIPS 2023
Regret, stability & fairness in matching markets with bandit learners
AISTATS 2022
Time Varying Regression with Hidden Linear Dynamics
L4DC 2022
Causal Imputation via Synthetic Interventions
CLEAR 2022
A Computationally Efficient Method for Learning Exponential Family Distributions
NIPS 2021
Regulating algorithmic filtering on social media
NIPS 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators
NIPS 2021
Change Point Detection via Multivariate Singular Spectrum Analysis
NIPS 2021
On Learning Continuous Pairwise Markov Random Fields
AISTATS 2021
Quantifying Variational Approximation for Log-Partition Function
COLT 2021
Stable Reinforcement Learning with Unbounded State Space
L4DC 2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
NIPS 2020
Estimation of Skill Distribution from a Tournament
NIPS 2020
On Robustness of Principal Component Regression
NIPS 2019
Reducing Crowdsourcing to Graphon Estimation, Statistically
AISTATS 2018
Q-learning with Nearest Neighbors
NIPS 2018
Robust Synthetic Control
JMLR 2018
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation
NIPS 2017
Flowtune: Flowlet Control for Datacenter Networks
NSDI 2017
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
NIPS 2016
Structure learning of antiferromagnetic Ising models
NIPS 2014
Learning Mixed Multinomial Logit Model from Ordinal Data
NIPS 2014
A Latent Source Model for Online Collaborative Filtering
NIPS 2014
Hardness of parameter estimation in graphical models
NIPS 2014
A Latent Source Model for Nonparametric Time Series Classification
NIPS 2013
Computing the Stationary Distribution Locally
NIPS 2013
Iterative ranking from pair-wise comparisons
NIPS 2012
Iterative Learning for Reliable Crowdsourcing Systems
NIPS 2011
A Data-Driven Approach to Modeling Choice
NIPS 2009
Local Rules for Global MAP: When Do They Work ?
NIPS 2009
Inferring rankings under constrained sensing
NIPS 2008
Message Passing for Max-weight Independent Set
NIPS 2007
Local Algorithms for Approximate Inference in Minor-Excluded Graphs
NIPS 2007