Media Summary: AttentiveChrome is a unified architecture to model and to interpret dependencies among chromatin factors for controlling gene ... Tutorial Deep Learning: Practice and Trends. Nando de Freitas, Scott Reed, Oriol Vinyals. 0:02:06 Part I: Practice. The Deep ... Live from Neural Information Processing Systems (

Nips 2017 Sample And Computationally - Detailed Analysis & Overview

AttentiveChrome is a unified architecture to model and to interpret dependencies among chromatin factors for controlling gene ... Tutorial Deep Learning: Practice and Trends. Nando de Freitas, Scott Reed, Oriol Vinyals. 0:02:06 Part I: Practice. The Deep ... Live from Neural Information Processing Systems ( This is a 3-minute video for the paper "Discovering Potential Correlations via Hypercontractivity" ( NIPS 2017 --- Reliable Decision Support using Counterfactual Models Spotlight Good morning I think we are ready for the next talk if this this actually works so not every

Solving large-scale QCQP via low-discrepancy sequences. Accepted paper at

Photo Gallery

NIPS 2017 "Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions"
AttentiveChrome NIPS 2017
Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)
NIPS 2017 John Platt's Opening Remarks
[NIPS 2017] Discovering Potential Correlations via Hypercontractivity
NIPS 2017 --- Reliable Decision Support using Counterfactual Models Spotlight
NIPS 2017 Paper : Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs
[NIPS 2017]  On the Power of Truncated SVD for General High-rank Matrix Estimation Problems
NIPS 2017 -- Near-Linear Time Algorithms for Optimal Transport
Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)
NIPS 2017 - Straggler mitigation in distributed optimization through data encoding
NIPS 2017, Online to offline conversions, Universality & Adaptive minbatch sizes
View Detailed Profile
NIPS 2017 "Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions"

NIPS 2017 "Sample and Computationally Efficient Learning Algorithms under S-Concave Distributions"

NIPS 2017

AttentiveChrome NIPS 2017

AttentiveChrome NIPS 2017

AttentiveChrome is a unified architecture to model and to interpret dependencies among chromatin factors for controlling gene ...

Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)

Deep Learning: Practice and Trends (NIPS 2017 Tutorial, parts I & II)

Tutorial Deep Learning: Practice and Trends. Nando de Freitas, Scott Reed, Oriol Vinyals. 0:02:06 Part I: Practice. The Deep ...

NIPS 2017 John Platt's Opening Remarks

NIPS 2017 John Platt's Opening Remarks

Live from Neural Information Processing Systems (

[NIPS 2017] Discovering Potential Correlations via Hypercontractivity

[NIPS 2017] Discovering Potential Correlations via Hypercontractivity

This is a 3-minute video for the paper "Discovering Potential Correlations via Hypercontractivity" (

NIPS 2017 --- Reliable Decision Support using Counterfactual Models Spotlight

NIPS 2017 --- Reliable Decision Support using Counterfactual Models Spotlight

NIPS 2017 --- Reliable Decision Support using Counterfactual Models Spotlight

NIPS 2017 Paper : Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

NIPS 2017 Paper : Hunt For The Unique, Stable, Sparse And Fast Feature Learning On Graphs

NIPS 2017

[NIPS 2017]  On the Power of Truncated SVD for General High-rank Matrix Estimation Problems

[NIPS 2017] On the Power of Truncated SVD for General High-rank Matrix Estimation Problems

Spotlight video of

NIPS 2017 -- Near-Linear Time Algorithms for Optimal Transport

NIPS 2017 -- Near-Linear Time Algorithms for Optimal Transport

3-min overview of the

Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)

Ali Rahimi's talk at NIPS(NIPS 2017 Test-of-time award presentation)

Good morning I think we are ready for the next talk if this this actually works so not every

NIPS 2017 - Straggler mitigation in distributed optimization through data encoding

NIPS 2017 - Straggler mitigation in distributed optimization through data encoding

Spotlight video for

NIPS 2017, Online to offline conversions, Universality & Adaptive minbatch sizes

NIPS 2017, Online to offline conversions, Universality & Adaptive minbatch sizes

NIPS 2017

NIPS 2017: Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences

NIPS 2017: Large-Scale Quadratically Constrained Quadratic Program via Low-Discrepancy Sequences

Solving large-scale QCQP via low-discrepancy sequences. Accepted paper at