Christopher Tosh
10 papers · 2014–2021 · 6 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (23) 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(10)
Learning Types · Machine Learning
(7)
Optimization & Theory
(6)
Mathematics & Optimization
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Bayesian & Probabilistic
(2)
Core Methods
(2)
Mathematics
(2)
Optimization
(2)
Architectures
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Probability
(1)
Keywords
markov chain monte carlo
(2)
maximum likelihood estimation
(2)
topic model
(2)
gibbs sampling
(2)
contrastive learning
(2)
representation learning
(2)
gaussian mixture model
(2)
mixture of gaussian
(2)
structure learning
(1)
computational complexity
(1)
bayesian inference
(1)
posterior sampling
(1)
maximum likelihood
(1)
topic modeling
(1)
interactive learning
(1)
bayesian decision making
(1)
document classification
(1)
self-supervised learning
(1)
markov chain
(1)
multi-view learning
(1)
Papers
Bayesian decision-making under misspecified priors with applications to meta-learning
NeurIPS 2021
Contrastive Estimation Reveals Topic Posterior Information to Linear Models
JMLR 2021
Contrastive learning, multi-view redundancy, and linear models
ALT 2021
Diameter-based Interactive Structure Discovery
AISTATS 2020
The Relative Complexity of Maximum Likelihood Estimation, MAP Estimation, and Sampling
COLT 2019
Interactive Structure Learning with Structural Query-by-Committee
NeurIPS 2018
Maximum Likelihood Estimation for Mixtures of Spherical Gaussians is NP-hard
JMLR 2018
Diameter-Based Active Learning
ICML 2017
Mixing Rates for the Alternating Gibbs Sampler over Restricted Boltzmann Machines and Friends
ICML 2016
Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians
ICML 2014