Bellevue
Solving Non-smooth Constrained Programs with Lower Complexity than $\mathcal{O}(1/\varepsilon)$: A Primal-Dual Homotopy Smoothing Approach
Xiaohan Wei, Hao Yu, Qing Ling, Michael Neely
Neural Information Processing Systems http://nips.cc/
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- North America > United States > California > Los Angeles County > Los Angeles (0.14)
- North America > United States > Washington > King County > Bellevue (0.04)
- North America > United States > California > Los Angeles County > Santa Monica (0.04)
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- North America > United States > Ohio (0.04)
- North America > United States > California > Los Angeles County > Long Beach (0.04)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.66)
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- Europe > Sweden > Stockholm > Stockholm (0.05)
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Technology: Information Technology > Artificial Intelligence > Machine Learning > Reinforcement Learning (0.51)
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- North America > United States > California > Los Angeles County > Long Beach (0.14)
- North America > Canada > British Columbia > Metro Vancouver Regional District > Vancouver (0.14)
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- Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.68)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.68)
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
OFUGLB outperforms or is at par with prior algorithms for logistic bandits.
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- North America > United States > Arizona > Pima County > Tucson (0.14)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
- Europe > Switzerland > Basel-City > Basel (0.04)
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- Education (0.46)
- Government (0.45)
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- Information Technology > Data Science (1.00)
- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.46)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Optimization (0.45)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.45)
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- Asia > Japan > Honshū > Kansai > Kyoto Prefecture > Kyoto (0.04)
- North America > United States > Washington > King County > Bellevue (0.04)
- North America > United States > Ohio (0.04)
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- Information Technology (1.00)
- Health & Medicine > Diagnostic Medicine (1.00)
- Health & Medicine > Therapeutic Area > Cardiology/Vascular Diseases (0.67)
- Health & Medicine > Therapeutic Area > Oncology (0.67)
Technology:
Logarithmic Smoothing for Pessimistic Off-Policy Evaluation, Selection and Learning
In online advertising, for instance, the user's profile is the context, the
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- Europe > France > Île-de-France > Paris > Paris (0.04)
- South America > Paraguay > Asunción > Asunción (0.04)
- North America > United States > Washington > King County > Bellevue (0.04)
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- Research Report > New Finding (1.00)
- Research Report > Experimental Study (0.92)
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- Marketing (0.34)
- Information Technology > Services (0.34)
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Offline Multitask Representation Learning for Reinforcement Learning
We theoretically investigate offline multitask low-rank RL, and propose a new algorithm called MORL for offline multitask representation learning.
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- North America > Canada > Quebec > Montreal (0.04)
- North America > United States > Washington > King County > Bellevue (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- North America > United States > Texas > Brazos County > College Station (0.14)
- North America > United States > California > San Francisco County > San Francisco (0.14)
- North America > United States > New York (0.04)
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- Research Report > Experimental Study (0.47)
- Research Report > New Finding (0.46)
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- Information Technology > Artificial Intelligence > Machine Learning > Statistical Learning (0.93)
- Information Technology > Artificial Intelligence > Representation & Reasoning > Uncertainty > Bayesian Inference (0.46)
- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models > Directed Networks > Bayesian Learning (0.46)
On Adversarial Mixup Resynthesis
Christopher Beckham, Sina Honari, Vikas Verma, Alex M. Lamb, Farnoosh Ghadiri, R Devon Hjelm, Yoshua Bengio, Chris Pal
Neural Information Processing Systems http://nips.cc/
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- North America > Canada > Quebec > Montreal (0.05)
- Europe > Finland (0.04)
- North America > United States > Washington > King County > Bellevue (0.04)
- Europe > Sweden > Stockholm > Stockholm (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (0.69)