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NIPS 2015

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07:30 EST

Breakfast 220 A

08:00 EST

Extreme Classification 2015: Multi-class and Multi-label Learning in Extremely Large Label Spaces 511 f

08:30 EST

Bayesian Nonparametrics: The Next Generation 515 bc Bayesian Optimization: Scalability and Flexibility 511 b BigNeuro 2015: Making sense of big neural data 511 e Black box learning and inference 513 ef Challenges in Machine Learning (CiML 2015): 'Open Innovation' and 'Coopetitions' 512 e Learning and privacy with incomplete data and weak supervision 512 dh Learning, Inference and Control of Multi-Agent Systems 511 a Machine Learning From and For Adaptive User Technologies: From Active Learning & Experimentation to Optimization & Personalization 514 a Machine Learning in Computational Biology 510 db Machine Learning Systems 511 d Multiresolution methods for large-scale learning 511 c Networks in the Social and Information Sciences 512 bf Non-convex Optimization for Machine Learning: Theory and Practice 513 cd Quantum Machine Learning 512 a Reasoning, Attention, Memory (RAM) Workshop 510 ac Scalable Monte Carlo Methods for Bayesian Analysis of Big Data 513 ab Transfer and Multi-Task Learning: Trends and New Perspectives 514 bc

10:00 EST

Coffee Break Foyer - 5th floor

16:00 EST

Coffee Break Foyer - 5th floor

19:00 EST