Vivek Farias
13 papers · 2009–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Full π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
π
Trend Setter
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
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Keyword Collector
(77)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(10)
Mathematics & Optimization
(8)
Learning Types
(8)
Optimization
(8)
Artificial Intelligence
(6)
Core AI
(5)
Reinforcement Learning
(4)
Core Methods
(4)
Methods
(3)
Data Science & Analytics
(2)
Applications
(2)
Computer Vision
(1)
Analysis
(1)
Application Areas
(1)
Keywords
multi-armed bandit
(3)
causal inference
(2)
sub-exponential noise
(2)
statistical learning
(2)
matrix completion
(2)
thompson sampling
(2)
low-rank matrix
(2)
approximate dynamic programming
(2)
off-policy evaluation
(1)
neural network optimization
(1)
continual learning
(1)
markov decision process
(1)
nonparametric learning
(1)
discount factor
(1)
stochastic optimization
(1)
sample complexity
(1)
variance reduction
(1)
preference learning
(1)
linear programming
(1)
uncertainty quantification
(1)
Papers
Self-Normalized Resets for Plasticity in Continual Learning
ICLR 2025
Speeding up Policy Simulation in Supply Chain RL
ICML 2025
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
AISTATS 2023
Markovian Interference in Experiments
NeurIPS 2022
Uncertainty Quantification for Low-Rank Matrix Completion with Heterogeneous and Sub-Exponential Noise
AISTATS 2022
Fair Exploration via Axiomatic Bargaining
NeurIPS 2021
Learning Treatment Effects in Panels with General Intervention Patterns
NeurIPS 2021
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
ICML 2021
Optimal Recovery of Tensor Slices
AISTATS 2017
Optimistic Gittins Indices
NeurIPS 2016
Non-parametric Approximate Dynamic Programming via the Kernel Method
NeurIPS 2012
A Data-Driven Approach to Modeling Choice
NeurIPS 2009
A Smoothed Approximate Linear Program
NeurIPS 2009