Christopher Tosh
10 papers · 2014–2021 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (22) π§ Keyword Pioneer π£ Hot Topic Early Bird π Cross-Pollinator (15) π Interdisciplinary Bridge
π
Conference Polyglot
(6)
π
Academic Marathon
(7)
π
Century Club
(10)
π₯
Unstoppable
(6)
Conferences
ICML (3)
JMLR (2)
NIPS (2)
AISTATS (1)
ALT (1)
COLT (1)
Top co-authors
Keywords
markov chain monte carlo
(2)
mixture of gaussian
(2)
gibbs sampling
(2)
contrastive learning
(2)
representation learning
(2)
structure learning
(1)
computational complexity
(1)
bayesian inference
(1)
posterior sampling
(1)
topic modeling
(1)
interactive learning
(1)
self-supervised learning
(1)
maximum likelihood
(1)
multi-view learning
(1)
maximum a posteriori
(1)
parameter estimation
(1)
document classification
(1)
markov chain
(1)
stochastic process
(1)
semi-supervised learning
(1)
Papers
Contrastive Estimation Reveals Topic Posterior Information to Linear Models
JMLR 2021
Bayesian decision-making under misspecified priors with applications to meta-learning
NIPS 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
NIPS 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