Mo Tiwari
9 papers · 2020–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Silver
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(20)
🏆
Grand Slam
Venues
Top co-authors
Research topics
Machine Learning
(9)
Core Methods
(5)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(2)
Bayesian & Probabilistic · Artificial Intelligence
(2)
Learning Types
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Core AI
(1)
Foundations
(1)
Keywords
multi-armed bandit
(3)
sample complexity
(2)
decision tree
(2)
randomized algorithm
(2)
k-medoids clustering
(2)
markov chain monte carlo
(1)
adaptive sampling
(1)
curriculum learning
(1)
mutual information
(1)
algorithm complexity
(1)
probability distribution
(1)
maximum a posteriori
(1)
reward function
(1)
distance computation
(1)
partition function
(1)
lifelong learning
(1)
inner product
(1)
map inference
(1)
kernel density estimation
(1)
decision tree learning
(1)
Papers
LeanAgent: Lifelong Learning for Formal Theorem Proving
ICLR 2025
Adaptive Sampling for Efficient Softmax Approximation
NeurIPS 2024
Faster Maximum Inner Product Search in High Dimensions
ICML 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees
AAAI 2024
BanditPAM++: Faster k-medoids Clustering
NeurIPS 2023
GFlowNet Foundations
JMLR 2023
Harnessing the power of choices in decision tree learning
NeurIPS 2023
MABSplit: Faster Forest Training Using Multi-Armed Bandits
NeurIPS 2022
BanditPAM: Almost Linear Time k-Medoids Clustering via Multi-Armed Bandits
NeurIPS 2020