arturbekasov

\usepackage{amsmath,amsfonts,amssymb,bm,mathtools}
%\usepackage[usenames,dvipsnames]{xcolor}

\newcommand{\vect}[1]{\mathbf{#1}} % Vector
\newcommand{\mat}[1]{\mathbf{#1}} % Matrix

\newcommand{\vx}{\vect{x}}
\newcommand{\vw}{\vect{w}}
\newcommand{\vv}{\vect{v}}
\newcommand{\vy}{\vect{y}}

arturbekasov

To use:
  1. Download both new_tab.html and manifest.json to a single new directory.
  2. Go to chrome://extensions/.
  3. Enable "Developer mode" in the top right.
  4. Click “Load unpacked extension…” and select the directory from step 1.
  5. Click Ctrl/Cmd+T and enjoy.

arturbekasov

• Deep Subspace Clustering Network, http://arxiv.org/abs/1709.02508v1
• Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization, http://arxiv.org/abs/1707.06468v2
• Probabilistic Models for Integration Error in the Assessment of Functional Cardiac Models, http://arxiv.org/abs/1606.06841v4
• Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning, http://arxiv.org/abs/1704.02882v2
• Parametric Simplex Method for Sparse Learning, http://arxiv.org/abs/1704.01079v1
• Group Sparse Additive Machine, http://arxiv.org/abs/1206.4673v1
• The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings, http://arxiv.org/abs/1703.00864v2
• Inferring Generative Model Structure with Static Analysis, http://arxiv.org/abs/1709.02477v1
• On Structured Prediction Theory with Calibrated Convex Surrogate Losses, http://arxiv.org/abs/1703.02403v2
• Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model

arturbekasov

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console