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 Wed Dec 07, 2016

Time Area 5+6+7+8 #151 Area 5+6+7+8 #152 Area 5+6+7+8 #153 Area 5+6+7+8 #154 Area 5+6+7+8 #155 Area 5+6+7+8 #156 Area 5+6+7+8 #157 Area 5+6+7+8 #158 Area 5+6+7+8 #159 Area 5+6+7+8 #160 Area 5+6+7+8 #161 Area 5+6+7+8 #162 Area 5+6+7+8 #163 Area 5+6+7+8 #164 Area 5+6+7+8 #165 Area 5+6+7+8 #166 Area 5+6+7+8 #167 Area 5+6+7+8 #168 Area 5+6+7+8 #169 Area 5+6+7+8 #170 Area 5+6+7+8 #23 Area 5+6+7+8 #171 Area 5+6+7+8 #172 Area 5+6+7+8 #173 Area 5+6+7+8 #27 Area 5+6+7+8 #26 Area 5+6+7+8 #44 Area 5+6+7+8 #66 Area 5+6+7+8 #25 Area 5+6+7+8 #22 Area 5+6+7+8 #21 Area 5+6+7+8 #20 Area 5+6+7+8 #19 Area 5+6+7+8 #18 Area 5+6+7+8 #17 Area 5+6+7+8 #16 Area 5+6+7+8 #15 Area 5+6+7+8 #14 Area 5+6+7+8 #13 Area 5+6+7+8 #12 Area 5+6+7+8 #11 Area 5+6+7+8 #10 Area 5+6+7+8 #9 Area 5+6+7+8 #8 Area 5+6+7+8 #7 Area 5+6+7+8 #6 Area 5+6+7+8 #5 Area 5+6+7+8 #4 Area 5+6+7+8 #3 Area 5+6+7+8 #2 Area 5+6+7+8 #1 Area 5+6+7+8 #28 Area 5+6+7+8 #29 Area 5+6+7+8 #30 Area 5+6+7+8 #31 Area 5+6+7+8 #32 Area 5+6+7+8 #33 Area 5+6+7+8 #34 Area 5+6+7+8 #35 Area 5+6+7+8 #67 Area 5+6+7+8 #36 Area 5+6+7+8 #37 Area 5+6+7+8 #38 Area 5+6+7+8 #39 Area 5+6+7+8 #40 Area 5+6+7+8 #41 Area 5+6+7+8 #42 Area 5+6+7+8 #43 Area 5+6+7+8 #45 Area 5+6+7+8 #46 Area 5+6+7+8 #47 Area 5+6+7+8 #48 Area 5+6+7+8 #49 Area 5+6+7+8 #50 Area 5+6+7+8 #51 Area 5+6+7+8 #52 Area 5+6+7+8 #53 Area 5+6+7+8 #54 Area 5+6+7+8 #55 Area 5+6+7+8 #56 Area 5+6+7+8 #57 Area 5+6+7+8 #58 Area 5+6+7+8 #59 Area 5+6+7+8 #60 Area 5+6+7+8 #61 Area 5+6+7+8 #62 Area 5+6+7+8 #63 Area 5+6+7+8 #64 Area 5+6+7+8 #65 Area 5+6+7+8 #68 Area 5+6+7+8 #69 Area 5+6+7+8 #70 Area 5+6+7+8 #71 Area 5+6+7+8 #73 Area 5+6+7+8 #72 Area 5+6+7+8 #74 Area 5+6+7+8 #75 Area 5+6+7+8 #76 Area 5+6+7+8 #77 Area 5+6+7+8 #78 Area 5+6+7+8 #79 Area 5+6+7+8 #80 Area 5+6+7+8 #81 Area 5+6+7+8 #82 Area 5+6+7+8 #83 Area 5+6+7+8 #109 Area 5+6+7+8 #84 Area 5+6+7+8 #85 Area 5+6+7+8 #86 Area 5+6+7+8 #87 Area 5+6+7+8 #115 Area 5+6+7+8 #88 Area 5+6+7+8 #89 Area 5+6+7+8 #90 Area 5+6+7+8 #91 Area 5+6+7+8 #92 Area 5+6+7+8 #93 Area 5+6+7+8 #94 Area 5+6+7+8 #95 Area 5+6+7+8 #96 Area 5+6+7+8 #97 Area 5+6+7+8 #98 Area 5+6+7+8 #99 Area 5+6+7+8 #104 Area 5+6+7+8 #100 Area 5+6+7+8 #101 Area 5+6+7+8 #102 Area 5+6+7+8 #103 Area 5+6+7+8 #105 Area 5+6+7+8 #106 Area 5+6+7+8 #107 Area 5+6+7+8 #108 Area 5+6+7+8 #110 Area 5+6+7+8 #111 Area 5+6+7+8 #112 Area 5+6+7+8 #113 Area 5+6+7+8 #114 Area 5+6+7+8 #116 Area 5+6+7+8 #117 Area 5+6+7+8 #118 Area 5+6+7+8 #119 Area 5+6+7+8 #120 Area 5+6+7+8 #24 Area 5+6+7+8 #121 Area 5+6+7+8 #122 Area 5+6+7+8 #123 Area 5+6+7+8 #124 Area 5+6+7+8 #125 Area 5+6+7+8 #126 Area 5+6+7+8 #127 Area 5+6+7+8 #128 Area 5+6+7+8 #129 Area 5+6+7+8 #130 Area 5+6+7+8 #131 Area 5+6+7+8 #132 Area 5+6+7+8 #133 Area 5+6+7+8 #134 Area 5+6+7+8 #135 Area 5+6+7+8 #136 Area 5+6+7+8 #137 Area 5+6+7+8 #138 Area 5+6+7+8 #139 Area 5+6+7+8 #140 Area 5+6+7+8 #141 Area 5+6+7+8 #142 Area 5+6+7+8 #143 Area 5+6+7+8 #144 Area 5+6+7+8 #145 Area 5+6+7+8 #146 Area 5+6+7+8 #147 Area 5+6+7+8 #148 Area 5+6+7+8 #149 Area 5+6+7+8 #150 Area 5+6+7+8 #174 Area 5+6+7+8 #175 Area 5+6+7+8 #176 Area 5+6+7+8 #177 Area 5+6+7+8 #178 Area 5+6+7+8 #179 Area 5+6+7+8 #180 Area 5+6+7+8 #181 Area 5+6+7+8 #182 Area 5+6+7+8 #183 Area 5+6+7+8 #184 Area 5+6+7+8 #185 Area 5+6+7+8 #186 Area 5+6+7+8 #187 Area 5+6+7+8 #188 Area 5+6+7+8 #189 Area 5+6+7+8 #190 Area 5+6+7+8 #191 Area 5+6+7+8 #192 Area 5+6+7+8 #193 Area 5+6+7+8 #194 Area 5+6+7+8 #200 Area 5+6+7+8 #195 Area 5+6+7+8 #196 Area 5+6+7+8 #197 Area 5+6+7+8 #198
06:00 PM (Posters)
Multistage Campaigning in Social Networks Area 5+6+7+8 #151
Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions Area 5+6+7+8 #152
Coordinate-wise Power Method Area 5+6+7+8 #153
Barzilai-Borwein Step Size for Stochastic Gradient Descent Area 5+6+7+8 #154
Fast learning rates with heavy-tailed losses Area 5+6+7+8 #155
CliqueCNN: Deep Unsupervised Exemplar Learning Area 5+6+7+8 #156
Guided Policy Search via Approximate Mirror Descent Area 5+6+7+8 #157
Structured Sparse Regression via Greedy Hard Thresholding Area 5+6+7+8 #158
Learning in Games: Robustness of Fast Convergence Area 5+6+7+8 #159
Measuring the reliability of MCMC inference with bidirectional Monte Carlo Area 5+6+7+8 #160
Average-case hardness of RIP certification Area 5+6+7+8 #161
Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent Area 5+6+7+8 #162
Infinite Hidden Semi-Markov Modulated Interaction Point Process Area 5+6+7+8 #163
Linear Contextual Bandits with Knapsacks Area 5+6+7+8 #164
Selective inference for group-sparse linear models Area 5+6+7+8 #165
Deep Neural Networks with Inexact Matching for Person Re-Identification Area 5+6+7+8 #166
Accelerating Stochastic Composition Optimization Area 5+6+7+8 #167
Learning Bound for Parameter Transfer Learning Area 5+6+7+8 #168
Can Active Memory Replace Attention? Area 5+6+7+8 #169
Understanding the Effective Receptive Field in Deep Convolutional Neural Networks Area 5+6+7+8 #170
Brains on Beats Area 5+6+7+8 #23
Local Similarity-Aware Deep Feature Embedding Area 5+6+7+8 #171
End-to-End Kernel Learning with Supervised Convolutional Kernel Networks Area 5+6+7+8 #172
Single-Image Depth Perception in the Wild Area 5+6+7+8 #173
Designing smoothing functions for improved worst-case competitive ratio in online optimization Area 5+6+7+8 #27
Avoiding Imposters and Delinquents: Adversarial Crowdsourcing and Peer Prediction Area 5+6+7+8 #26
Wednesday Posters
Learning Bayesian networks with ancestral constraints Area 5+6+7+8 #44
Structured Prediction Theory Based on Factor Graph Complexity Area 5+6+7+8 #66
Leveraging Sparsity for Efficient Submodular Data Summarization Area 5+6+7+8 #25
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks Area 5+6+7+8 #22
Local Minimax Complexity of Stochastic Convex Optimization Area 5+6+7+8 #21
Spectral Learning of Dynamic Systems from Nonequilibrium Data Area 5+6+7+8 #20
Scalable Adaptive Stochastic Optimization Using Random Projections Area 5+6+7+8 #19
Optimal Architectures in a Solvable Model of Deep Networks Area 5+6+7+8 #18
Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes Area 5+6+7+8 #17
Data Poisoning Attacks on Factorization-Based Collaborative Filtering Area 5+6+7+8 #16
Launch and Iterate: Reducing Prediction Churn Area 5+6+7+8 #15
Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision Area 5+6+7+8 #14
Robust Spectral Detection of Global Structures in the Data by Learning a Regularization Area 5+6+7+8 #13
Clustering Signed Networks with the Geometric Mean of Laplacians Area 5+6+7+8 #12
Exploiting the Structure: Stochastic Gradient Methods Using Raw Clusters Area 5+6+7+8 #11
Online Pricing with Strategic and Patient Buyers Area 5+6+7+8 #10
Variance Reduction in Stochastic Gradient Langevin Dynamics Area 5+6+7+8 #9
Kronecker Determinantal Point Processes Area 5+6+7+8 #8
Generalized Correspondence-LDA Models (GC-LDA) for Identifying Functional Regions in the Brain Area 5+6+7+8 #7
Differential Privacy without Sensitivity Area 5+6+7+8 #6
Towards Unifying Hamiltonian Monte Carlo and Slice Sampling Area 5+6+7+8 #5
Unsupervised Learning from Noisy Networks with Applications to Hi-C Data Area 5+6+7+8 #4
The Multiple Quantile Graphical Model Area 5+6+7+8 #3
Unsupervised Learning of 3D Structure from Images Area 5+6+7+8 #2
Fast Mixing Markov Chains for Strongly Rayleigh Measures, DPPs, and Constrained Sampling Area 5+6+7+8 #1
The Forget-me-not Process Area 5+6+7+8 #28
Generating Videos with Scene Dynamics Area 5+6+7+8 #29
The Robustness of Estimator Composition Area 5+6+7+8 #30
Improved Deep Metric Learning with Multi-class N-pair Loss Objective Area 5+6+7+8 #31
Preference Completion from Partial Rankings Area 5+6+7+8 #32
Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian Area 5+6+7+8 #33
Privacy Odometers and Filters: Pay-as-you-Go Composition Area 5+6+7+8 #34
Large Margin Discriminant Dimensionality Reduction in Prediction Space Area 5+6+7+8 #35
Parameter Learning for Log-supermodular Distributions Area 5+6+7+8 #67
Tight Complexity Bounds for Optimizing Composite Objectives Area 5+6+7+8 #36
Automatic Neuron Detection in Calcium Imaging Data Using Convolutional Networks Area 5+6+7+8 #37
Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstraction and Intrinsic Motivation Area 5+6+7+8 #38
Conditional Image Generation with PixelCNN Decoders Area 5+6+7+8 #39
Natural-Parameter Networks: A Class of Probabilistic Neural Networks Area 5+6+7+8 #40
Long-term Causal Effects via Behavioral Game Theory Area 5+6+7+8 #41
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions Area 5+6+7+8 #42
A Probabilistic Programming Approach To Probabilistic Data Analysis Area 5+6+7+8 #43
Solving Random Systems of Quadratic Equations via Truncated Generalized Gradient Flow Area 5+6+7+8 #45
Balancing Suspense and Surprise: Timely Decision Making with Endogenous Information Acquisition Area 5+6+7+8 #46
Structure-Blind Signal Recovery Area 5+6+7+8 #47
Spatiotemporal Residual Networks for Video Action Recognition Area 5+6+7+8 #48
CMA-ES with Optimal Covariance Update and Storage Complexity Area 5+6+7+8 #49
Latent Attention For If-Then Program Synthesis Area 5+6+7+8 #50
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM Area 5+6+7+8 #51
An Efficient Streaming Algorithm for the Submodular Cover Problem Area 5+6+7+8 #52
Attend, Infer, Repeat: Fast Scene Understanding with Generative Models Area 5+6+7+8 #53
An ensemble diversity approach to supervised binary hashing Area 5+6+7+8 #54
End-to-End Goal-Driven Web Navigation Area 5+6+7+8 #55
The Power of Adaptivity in Identifying Statistical Alternatives Area 5+6+7+8 #56
A Probabilistic Framework for Deep Learning Area 5+6+7+8 #57
Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels Area 5+6+7+8 #58
Adaptive Neural Compilation Area 5+6+7+8 #59
Tagger: Deep Unsupervised Perceptual Grouping Area 5+6+7+8 #60
A scaled Bregman theorem with applications Area 5+6+7+8 #61
Learning feed-forward one-shot learners Area 5+6+7+8 #62
Error Analysis of Generalized Nyström Kernel Regression Area 5+6+7+8 #63
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation Area 5+6+7+8 #64
Asynchronous Parallel Greedy Coordinate Descent Area 5+6+7+8 #65
Exact Recovery of Hard Thresholding Pursuit Area 5+6+7+8 #68
New Liftable Classes for First-Order Probabilistic Inference Area 5+6+7+8 #69
Variational Inference in Mixed Probabilistic Submodular Models Area 5+6+7+8 #70
Unifying Count-Based Exploration and Intrinsic Motivation Area 5+6+7+8 #71
A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization Area 5+6+7+8 #73
Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods Area 5+6+7+8 #72
Fast and Flexible Monotonic Functions with Ensembles of Lattices Area 5+6+7+8 #74
Architectural Complexity Measures of Recurrent Neural Networks Area 5+6+7+8 #75
Online Convex Optimization with Unconstrained Domains and Losses Area 5+6+7+8 #76
Split LBI: An Iterative Regularization Path with Structural Sparsity Area 5+6+7+8 #77
Variational Autoencoder for Deep Learning of Images, Labels and Captions Area 5+6+7+8 #78
Recovery Guarantee of Non-negative Matrix Factorization via Alternating Updates Area 5+6+7+8 #79
Proximal Deep Structured Models Area 5+6+7+8 #80
Safe Policy Improvement by Minimizing Robust Baseline Regret Area 5+6+7+8 #81
A Pseudo-Bayesian Algorithm for Robust PCA Area 5+6+7+8 #82
Learning values across many orders of magnitude Area 5+6+7+8 #83
Linear dynamical neural population models through nonlinear embeddings Area 5+6+7+8 #109
Single Pass PCA of Matrix Products Area 5+6+7+8 #84
Convolutional Neural Fabrics Area 5+6+7+8 #85
Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data Area 5+6+7+8 #86
Mixed vine copulas as joint models of spike counts and local field potentials Area 5+6+7+8 #87
Bayesian Optimization for Probabilistic Programs Area 5+6+7+8 #115
Optimal Black-Box Reductions Between Optimization Objectives Area 5+6+7+8 #88
Dialog-based Language Learning Area 5+6+7+8 #89
Online Bayesian Moment Matching for Topic Modeling with Unknown Number of Topics Area 5+6+7+8 #90
A Sparse Interactive Model for Matrix Completion with Side Information Area 5+6+7+8 #91
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Area 5+6+7+8 #92
On Mixtures of Markov Chains Area 5+6+7+8 #93
High Dimensional Structured Superposition Models Area 5+6+7+8 #94
Finite Sample Prediction and Recovery Bounds for Ordinal Embedding Area 5+6+7+8 #95
What Makes Objects Similar: A Unified Multi-Metric Learning Approach Area 5+6+7+8 #96
Unsupervised Learning of Spoken Language with Visual Context Area 5+6+7+8 #97
Cyclades: Conflict-free Asynchronous Machine Learning Area 5+6+7+8 #98
Disease Trajectory Maps Area 5+6+7+8 #99
On the Recursive Teaching Dimension of VC Classes Area 5+6+7+8 #104
Fast ε-free Inference of Simulation Models with Bayesian Conditional Density Estimation Area 5+6+7+8 #100
Stochastic Structured Prediction under Bandit Feedback Area 5+6+7+8 #101
Learning under uncertainty: a comparison between R-W and Bayesian approach Area 5+6+7+8 #102
Minimax Optimal Alternating Minimization for Kernel Nonparametric Tensor Learning Area 5+6+7+8 #103
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems Area 5+6+7+8 #105
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization Area 5+6+7+8 #106
Low-Rank Regression with Tensor Responses Area 5+6+7+8 #107
Double Thompson Sampling for Dueling Bandits Area 5+6+7+8 #108
Regret Bounds for Non-decomposable Metrics with Missing Labels Area 5+6+7+8 #110
Dynamic matrix recovery from incomplete observations under an exact low-rank constraint Area 5+6+7+8 #111
Rényi Divergence Variational Inference Area 5+6+7+8 #112
Confusions over Time: An Interpretable Bayesian Model to Characterize Trends in Decision Making Area 5+6+7+8 #113
Adaptive Averaging in Accelerated Descent Dynamics Area 5+6+7+8 #114
Efficient Globally Convergent Stochastic Optimization for Canonical Correlation Analysis Area 5+6+7+8 #116
A Unified Approach for Learning the Parameters of Sum-Product Networks Area 5+6+7+8 #117
Feature-distributed sparse regression: a screen-and-clean approach Area 5+6+7+8 #118
Backprop KF: Learning Discriminative Deterministic State Estimators Area 5+6+7+8 #119
Swapout: Learning an ensemble of deep architectures Area 5+6+7+8 #120
A Communication-Efficient Parallel Algorithm for Decision Tree Area 5+6+7+8 #24
Assortment Optimization Under the Mallows model Area 5+6+7+8 #121
Operator Variational Inference Area 5+6+7+8 #122
Select-and-Sample for Spike-and-Slab Sparse Coding Area 5+6+7+8 #123
Fast recovery from a union of subspaces Area 5+6+7+8 #124
Ladder Variational Autoencoders Area 5+6+7+8 #125
SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling Area 5+6+7+8 #126
CRF-CNN: Modeling Structured Information in Human Pose Estimation Area 5+6+7+8 #127
A Consistent Regularization Approach for Structured Prediction Area 5+6+7+8 #128
Refined Lower Bounds for Adversarial Bandits Area 5+6+7+8 #129
Learning Deep Embeddings with Histogram Loss Area 5+6+7+8 #130
Solving Marginal MAP Problems with NP Oracles and Parity Constraints Area 5+6+7+8 #131
Kernel Bayesian Inference with Posterior Regularization Area 5+6+7+8 #132
Learning Influence Functions from Incomplete Observations Area 5+6+7+8 #133
General Tensor Spectral Co-clustering for Higher-Order Data Area 5+6+7+8 #134
Bayesian latent structure discovery from multi-neuron recordings Area 5+6+7+8 #135
Estimating the Size of a Large Network and its Communities from a Random Sample Area 5+6+7+8 #136
Wasserstein Training of Restricted Boltzmann Machines Area 5+6+7+8 #137
Deep ADMM-Net for Compressive Sensing MRI Area 5+6+7+8 #138
Maximization of Approximately Submodular Functions Area 5+6+7+8 #139
Combining Low-Density Separators with CNNs Area 5+6+7+8 #140
Learning Sensor Multiplexing Design through Back-propagation Area 5+6+7+8 #141
High resolution neural connectivity from incomplete tracing data using nonnegative spline regression Area 5+6+7+8 #142
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Area 5+6+7+8 #143
Learning Sparse Gaussian Graphical Models with Overlapping Blocks Area 5+6+7+8 #144
Multi-step learning and underlying structure in statistical models Area 5+6+7+8 #145
Dynamic Network Surgery for Efficient DNNs Area 5+6+7+8 #146
Active Nearest-Neighbor Learning in Metric Spaces Area 5+6+7+8 #147
Discriminative Gaifman Models Area 5+6+7+8 #148
Professor Forcing: A New Algorithm for Training Recurrent Networks Area 5+6+7+8 #149
Pruning Random Forests for Prediction on a Budget Area 5+6+7+8 #150
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity Area 5+6+7+8 #174
Without-Replacement Sampling for Stochastic Gradient Methods Area 5+6+7+8 #174
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks Area 5+6+7+8 #175
Consistent Estimation of Functions of Data Missing Non-Monotonically and Not at Random Area 5+6+7+8 #176
Learning What and Where to Draw Area 5+6+7+8 #176
Stochastic Online AUC Maximization Area 5+6+7+8 #177
Deep Learning without Poor Local Minima Area 5+6+7+8 #178
Regularized Nonlinear Acceleration Area 5+6+7+8 #179
Learning to Poke by Poking: Experiential Learning of Intuitive Physics Area 5+6+7+8 #180
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks Area 5+6+7+8 #181
Linear-Memory and Decomposition-Invariant Linearly Convergent Conditional Gradient Algorithm for Structured Polytopes Area 5+6+7+8 #182
Achieving the KS threshold in the general stochastic block model with linearized acyclic belief propagation Area 5+6+7+8 #183
Orthogonal Random Features Area 5+6+7+8 #184
Universal Correspondence Network Area 5+6+7+8 #185
The Multiscale Laplacian Graph Kernel Area 5+6+7+8 #186
Generalization of ERM in Stochastic Convex Optimization: The Dimension Strikes Back Area 5+6+7+8 #187
Large-Scale Price Optimization via Network Flow Area 5+6+7+8 #188
Bayesian Optimization with Robust Bayesian Neural Networks Area 5+6+7+8 #189
Protein contact prediction from amino acid co-evolution using convolutional networks for graph-valued images Area 5+6+7+8 #190
Supervised Word Mover's Distance Area 5+6+7+8 #191
Beyond Exchangeability: The Chinese Voting Process Area 5+6+7+8 #192
Poisson-Gamma dynamical systems Area 5+6+7+8 #193
Interpretable Distribution Features with Maximum Testing Power Area 5+6+7+8 #194
R-FCN: Object Detection via Region-based Fully Convolutional Networks Area 5+6+7+8 #200
Dense Associative Memory for Pattern Recognition Area 5+6+7+8 #195
Relevant sparse codes with variational information bottleneck Area 5+6+7+8 #196
Examples are not enough, learn to criticize! Criticism for Interpretability Area 5+6+7+8 #197
Showing versus doing: Teaching by demonstration Area 5+6+7+8 #198