I did not attend this year's NIPS, but I've gathered many summaries published online by those who did attend the conference.
- NIPS 2016 Symposium on People and machines: Public views on machine learning, and what this means for machine learning researchers. (Notes and panel discussion) by /u/gcr
- NIPS 2016 summary, wrap up, and links to slides by /u/beamsearch
- Post NIPS Reflections by Neil Lawrence
- Some general take aways from #NIPS2016 by Igor Carron
- NIPS 2016 experience and highlights by Sergey Korolev
- NIPS 2016 Reflections by Paul Mineiro
- Some general takeaways from #NIPS2016 by Arturo Slim
- Ross Fadely and Jeremy Karnowski:
- Key deep learning takeaways from NIPS2016 for applied data scientist by Avkash Chauhan
- Brad Neuberg’s NIPS 2016 Notes by Brad Neuberg
- 50 things I learned at NIPS 2016
- Lab 41 by Karl Ni:
- WiML 2016 (Women in Machine Learning) videos:
- Designing Algorithms for Practical Machine Learning by Maya Gupta
- On the Expressive Power of Deep Neural Networks by Maithra Raghu
- Ancestral Causal Inference by Sara Magliacane
- Towards a Reasoning Engine for Individualizing Healthcare by Suchi Saria
- Learning Representations from Time Series Data through Contextualized LSTMs by Madalina Fiterau
- Towards Conversational Recommender Systems by Konstantina Christakopoulou
- Large-Scale Machine Learning through Spectral Methods: Theory & Practice by Anima Anandkumar
- WiML Updates by Tamara Broderick
- Using Convolutional Neural Networks to Estimate Population Density from High Resolution Satellite Images by Amy Zhang
- Graphons and Machine Learning by @JenniferChayes
- NIPS 2016: cake, Rocket AI, GANs and the style transfer debate by Luba Elliott
- Summary of NIPS 2016 Adversarial Training Workshop: More Theory, Exciting Progress by /u/fhuszar
- NIPS 2016 Notes by /u/lehinevych
- NIPS 2016 by Stephanie Hyland
- Nuts and Bolts of Building Deep Learning Applications: Ng @ NIPS2016 by Tomasz Malisiewicz
- NIPS 2016 by Roman Shapovalov
- Magenta wins "Best Demo" at NIPS 2016!, checkout the demo here
- Dialogue Workshop Recap by Paul Mineiro
- NIPS 2016: Towards an end to end Dynamic Dialogue System by Vishal Bhalla
- NIPS 2016: Deep Reinforcement Learning by Leighton Turner
- NIPS 2016 Highlights by Sebastian Ruder
- NIPS 2016 Notes by Valentine Svensson
- Some Interesting Talks at NIPS 2016 by Yen-Huan Li
- Deezer R&D goes to NIPS 2016
- Robots Learning About Human Values, Emotion, and Intent by Malika Cantor
- Notes on NIPS 2016 by Ilya Kuzovkin
- NIPS 2016 Trip Report by Mike Lanzetta
- Highlights of NIPS 2016: Adversarial learning, Meta-learning, and more by Sebastian Ruder
- Garbled highlights from NIPS 2016 by Dan Mackinlay
- AI Safety Highlights from NIPS 2016 by Victoria Krakovna
- Summary of NIPS 2016 by Eric Jang
- NIPS 2016 Generative Adversarial Training workshop talk
- EWRL and NIPS 2016 by John Langford
You might also be interested in:
- All Code Implementations for NIPS 2016 papers
- On RocketAI: [1] + [2] + [3]