Dengyong Zhou
21 papers · 2006–2021 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (14) π Interdisciplinary Bridge π Academic Marathon (15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Academic Marathon
(15)
π
Keyword Trendsetter Combo
(3)
π
Keyword Champion
(3)
π
Grand Slam
π
Century Club
(21)
π
Conference Pioneer
π
Trend Setter
ποΈ
Keyword Collector
(92)
π₯
Unstoppable
(7)
Conferences
ICML (8)
NIPS (5)
ICLR (4)
JMLR (3)
AAAI (1)
Top co-authors
Keywords
label aggregation
(4)
noisy label
(4)
incentive mechanism
(4)
mechanism design
(3)
probabilistic modeling
(3)
expectation maximization
(3)
payment mechanism
(2)
multiplicative payment
(2)
probabilistic model
(2)
budget allocation
(2)
dynamic programming
(2)
spectral method
(2)
worker quality
(2)
logistic regression
(1)
clustering
(1)
feature learning
(1)
game theory
(1)
classification
(1)
reinforcement learning
(1)
active learning
(1)
Papers
Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision
AAAI 2021
Doubly Robust Bias Reduction in Infinite Horizon Off-Policy Estimation
ICLR 2020
Action-dependent Control Variates for Policy Optimization via Stein Identity
ICLR 2018
Towards Neural Phrase-based Machine Translation
ICLR 2018
On the Discrimination-Generalization Tradeoff in GANs
ICLR 2018
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
NIPS 2018
Sequence Modeling via Segmentations
ICML 2017
Stochastic Variance Reduction Methods for Policy Evaluation
ICML 2017
Provably Optimal Algorithms for Generalized Linear Contextual Bandits
ICML 2017
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
JMLR 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing
JMLR 2016
No Oops, You Wonβt Do It Again: Mechanisms for Self-correction in Crowdsourcing
ICML 2016
Exact Exponent in Optimal Rates for Crowdsourcing
ICML 2016
Double or Nothing: Multiplicative Incentive Mechanisms for Crowdsourcing
NIPS 2015
Statistical Decision Making for Optimal Budget Allocation in Crowd Labeling
JMLR 2015
Approval Voting and Incentives in Crowdsourcing
ICML 2015
Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing
NIPS 2014
Aggregating Ordinal Labels from Crowds by Minimax Conditional Entropy
ICML 2014
Optimistic Knowledge Gradient Policy for Optimal Budget Allocation in Crowdsourcing
ICML 2013
Learning from the Wisdom of Crowds by Minimax Entropy
NIPS 2012
Learning with Hypergraphs: Clustering, Classification, and Embedding
NIPS 2006