Toggle Poster Visibility
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #1
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #2
A framework for Multi-A(rmed)/B(andit) Testing with Online FDR Control
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #3
Monte-Carlo Tree Search by Best Arm Identification
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #4
Minimal Exploration in Structured Stochastic Bandits
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #5
Regret Analysis for Continuous Dueling Bandit
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #6
Elementary Symmetric Polynomials for Optimal Experimental Design
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #7
Learning Linear Dynamical Systems via Spectral Filtering
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #8
Efficient and Flexible Inference for Stochastic Systems
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #9
Group Sparse Additive Machine
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #10
Bregman Divergence for Stochastic Variance Reduction: Saddle-Point and Adversarial Prediction
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #11
Online multiclass boosting
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #12
Universal consistency and minimax rates for online Mondrian Forests
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #13
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #14
Learning from Complementary Labels
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #15
Positive-Unlabeled Learning with Non-Negative Risk Estimator
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #16
Semisupervised Clustering, AND-Queries and Locally Encodable Source Coding
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #17
A Learning Error Analysis for Structured Prediction with Approximate Inference
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #18
On Optimal Generalizability in Parametric Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #19
Multi-Objective Non-parametric Sequential Prediction
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #20
Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #21
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #22
Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #23
Ranking Data with Continuous Labels through Oriented Recursive Partitions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #24
Practical Data-Dependent Metric Compression with Provable Guarantees
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #25
Simple strategies for recovering inner products from coarsely quantized random projections
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #26
Clustering Stable Instances of Euclidean k-means.
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #27
Affinity Clustering: Hierarchical Clustering at Scale
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #28
Sparse Embedded $k$-Means Clustering
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #29
K-Medoids For K-Means Seeding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #30
Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #31
Inhomogeneous Hypergraph Clustering with Applications
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #32
Subspace Clustering via Tangent Cones
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #33
Tensor Biclustering
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #34
A Unified Approach to Interpreting Model Predictions
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #35
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #36
Unbiased estimates for linear regression via volume sampling
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #37
On Separability of Loss Functions, and Revisiting Discriminative Vs Generative Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #38
Generalized Linear Model Regression under Distance-to-set Penalties
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #39
Group Additive Structure Identification for Kernel Nonparametric Regression
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #40
Learning Overcomplete HMMs
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #41
Matrix Norm Estimation from a Few Entries
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #42
Optimal Shrinkage of Singular Values Under Random Data Contamination
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #43
A New Theory for Matrix Completion
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #44
Learning Low-Dimensional Metrics
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #45
Alternating minimization for dictionary learning with random initialization
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #46
Consistent Robust Regression
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #47
Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #48
Minimax Estimation of Bandable Precision Matrices
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #49
Diffusion Approximations for Online Principal Component Estimation and Global Convergence
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #50
Estimation of the covariance structure of heavy-tailed distributions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #51
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #52
Stochastic Approximation for Canonical Correlation Analysis
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #53
Diving into the shallows: a computational perspective on large-scale shallow learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #54
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #55
Generalization Properties of Learning with Random Features
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #56
Gaussian Quadrature for Kernel Features
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #57
A Linear-Time Kernel Goodness-of-Fit Test
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #58
Convergence rates of a partition based Bayesian multivariate density estimation method
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #59
The power of absolute discounting: all-dimensional distribution estimation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #60
Learning Populations of Parameters
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #61
Communication-Efficient Distributed Learning of Discrete Distributions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #62
Improved Dynamic Regret for Non-degenerate Functions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #63
Parameter-Free Online Learning via Model Selection
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #64
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #65
Online Learning with Transductive Regret
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #66
Multi-Armed Bandits with Metric Movement Costs
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #67
Differentially Private Empirical Risk Minimization Revisited: Faster and More General
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #68
Certified Defenses for Data Poisoning Attacks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #69
Sparse Approximate Conic Hulls
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #70
On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #71
Sparse convolutional coding for neuronal assembly detection
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #72
Estimating High-dimensional Non-Gaussian Multiple Index Models via Stein’s Lemma
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #73
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #74
Clustering Billions of Reads for DNA Data Storage
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #75
Deep Recurrent Neural Network-Based Identification of Precursor microRNAs
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #76
Decoding with Value Networks for Neural Machine Translation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #77
Learned in Translation: Contextualized Word Vectors
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #78
Deep Voice 2: Multi-Speaker Neural Text-to-Speech
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #79
Modulating early visual processing by language
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #80
Multimodal Learning and Reasoning for Visual Question Answering
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #81
Learning to Model the Tail
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #82
Interpretable and Globally Optimal Prediction for Textual Grounding using Image Concepts
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #83
Multiscale Quantization for Fast Similarity Search
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #84
MaskRNN: Instance Level Video Object Segmentation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #85
Learning Spherical Convolution for Fast Features from 360° Imagery
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #86
Deep Mean-Shift Priors for Image Restoration
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #87
Pixels to Graphs by Associative Embedding
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #88
MarrNet: 3D Shape Reconstruction via 2.5D Sketches
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #89
Temporal Coherency based Criteria for Predicting Video Frames using Deep Multi-stage Generative Adversarial Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #90
Self-Supervised Intrinsic Image Decomposition
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #91
Unsupervised learning of object frames by dense equivariant image labelling
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #92
One-Sided Unsupervised Domain Mapping
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #93
Contrastive Learning for Image Captioning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #94
Dynamic Routing Between Capsules
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #95
What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #96
Efficient Optimization for Linear Dynamical Systems with Applications to Clustering and Sparse Coding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #97
Label Distribution Learning Forests
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #98
Graph Matching via Multiplicative Update Algorithm
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #99
Training Quantized Nets: A Deeper Understanding
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #100
An inner-loop free solution to inverse problems using deep neural networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #101
Towards Accurate Binary Convolutional Neural Network
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #102
Runtime Neural Pruning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #103
Structured Embedding Models for Grouped Data
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #104
Poincaré Embeddings for Learning Hierarchical Representations
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #105
Language Modeling with Recurrent Highway Hypernetworks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #106
Preventing Gradient Explosions in Gated Recurrent Units
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #107
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #108
Fast-Slow Recurrent Neural Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #109
Cold-Start Reinforcement Learning with Softmax Policy Gradient
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #110
Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #111
Recurrent Ladder Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #112
Predictive-State Decoders: Encoding the Future into Recurrent Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #113
QMDP-Net: Deep Learning for Planning under Partial Observability
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #114
Filtering Variational Objectives
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #115
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #116
Neural Discrete Representation Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #117
Variational Memory Addressing in Generative Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #118
Cortical microcircuits as gated-recurrent neural networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #119
Continual Learning with Deep Generative Replay
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #120
Hierarchical Attentive Recurrent Tracking
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #121
VAE Learning via Stein Variational Gradient Descent
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #122
Learning to Inpaint for Image Compression
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #123
Visual Interaction Networks: Learning a Physics Simulator from Video
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #124
NeuralFDR: Learning Discovery Thresholds from Hypothesis Features
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #125
Eigen-Distortions of Hierarchical Representations
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #126
On-the-fly Operation Batching in Dynamic Computation Graphs
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #127
Learning Affinity via Spatial Propagation Networks
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #128
Few-Shot Adversarial Domain Adaptation
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #129
Deep Hyperspherical Learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #130
Riemannian approach to batch normalization
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #131
Training Deep Networks without Learning Rates Through Coin Betting
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #132
Convergent Block Coordinate Descent for Training Tikhonov Regularized Deep Neural Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #133
Collaborative Deep Learning in Fixed Topology Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #134
How regularization affects the critical points in linear networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #135
Predicting Organic Reaction Outcomes with Weisfeiler-Lehman Network
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #136
Predicting Scene Parsing and Motion Dynamics in the Future
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #137
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #138
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #139
Compression-aware Training of Deep Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #140
Non-parametric Structured Output Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #141
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #142
Exploring Generalization in Deep Learning
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #143
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #144
Extracting low-dimensional dynamics from multiple large-scale neural population recordings by learning to predict correlations
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #145
Adaptive stimulus selection for optimizing neural population responses
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #146
OnACID: Online Analysis of Calcium Imaging Data in Real Time
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #147
Detrended Partial Cross Correlation for Brain Connectivity Analysis
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #148
Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #149
An Error Detection and Correction Framework for Connectomics
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #150
GP CaKe: Effective brain connectivity with causal kernels
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #151
Learning Neural Representations of Human Cognition across Many fMRI Studies
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #152
Mapping distinct timescales of functional interactions among brain networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #153
Robust Estimation of Neural Signals in Calcium Imaging
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #154
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #155
Streaming Weak Submodularity: Interpreting Neural Networks on the Fly
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #156
Decomposable Submodular Function Minimization: Discrete and Continuous
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #157
Differentiable Learning of Submodular Functions
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #158
Robust Optimization for Non-Convex Objectives
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #159
On the Optimization Landscape of Tensor Decompositions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #160
Gradient Descent Can Take Exponential Time to Escape Saddle Points
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #161
Convolutional Phase Retrieval
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #162
Implicit Regularization in Matrix Factorization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #163
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #164
On Frank-Wolfe and Equilibrium Computation
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #165
Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #166
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #167
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #168
Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #169
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #170
Geometric Descent Method for Convex Composite Minimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #171
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #172
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #173
Limitations on Variance-Reduction and Acceleration Schemes for Finite Sums Optimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #174
Nonlinear Acceleration of Stochastic Algorithms
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #175
Acceleration and Averaging in Stochastic Descent Dynamics
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #176
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #177
EEG-GRAPH: A Factor-Graph-Based Model for Capturing Spatial, Temporal, and Observational Relationships in Electroencephalograms
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #178
Asynchronous Parallel Coordinate Minimization for MAP Inference
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #179
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #180
The Expxorcist: Nonparametric Graphical Models Via Conditional Exponential Densities
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #181
Reducing Reparameterization Gradient Variance
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #182
Robust Conditional Probabilities
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #183
Stein Variational Gradient Descent as Gradient Flow
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #184
Parallel Streaming Wasserstein Barycenters
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #185
AIDE: An algorithm for measuring the accuracy of probabilistic inference algorithms
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #186
Deep Dynamic Poisson Factorization Model
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #187
On the Model Shrinkage Effect of Gamma Process Edge Partition Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #188
Model evidence from nonequilibrium simulations
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #189
A-NICE-MC: Adversarial Training for MCMC
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #190
Identification of Gaussian Process State Space Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #191
Streaming Sparse Gaussian Process Approximations
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #192
Bayesian Optimization with Gradients
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #193
Variational Inference for Gaussian Process Models with Linear Complexity
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #194
Efficient Modeling of Latent Information in Supervised Learning using Gaussian Processes
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #195
Non-Stationary Spectral Kernels
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #196
Scalable Log Determinants for Gaussian Process Kernel Learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #197
Spectral Mixture Kernels for Multi-Output Gaussian Processes
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #198
Linearly constrained Gaussian processes
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #199
Hindsight Experience Replay
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #200
Log-normality and Skewness of Estimated State/Action Values in Reinforcement Learning
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #201
Finite sample analysis of the GTD Policy Evaluation Algorithms in Markov Setting
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #202
Inverse Filtering for Hidden Markov Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #203
Safe Model-based Reinforcement Learning with Stability Guarantees
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #204
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #205
Linear regression without correspondence
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #206
On the Complexity of Learning Neural Networks
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #207
Near Optimal Sketching of Low-Rank Tensor Regression
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #208
Is Input Sparsity Time Possible for Kernel Low-Rank Approximation?
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #209
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #210
Alternating Estimation for Structured High-Dimensional Multi-Response Models
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #211
Adaptive Clustering through Semidefinite Programming
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #212
Eigenvalue Decay Implies Polynomial-Time Learnability for Neural Networks
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #213
Learning with Average Top-k Loss
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #214
Hierarchical Clustering Beyond the Worst-Case
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #215
Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #216
A graph-theoretic approach to multitasking
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #217
Information-theoretic analysis of generalization capability of learning algorithms
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #218
Independence clustering (without a matrix)
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #219
Polynomial Codes: an Optimal Design for High-Dimensional Coded Matrix Multiplication
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #220
Estimating Mutual Information for Discrete-Continuous Mixtures
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #221
Best Response Regression
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #222
Statistical Cost Sharing
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #223
A Sample Complexity Measure with Applications to Learning Optimal Auctions
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #224
Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos
In
Posters Tue
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #225
Welfare Guarantees from Data
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #226
Safe and Nested Subgame Solving for Imperfect-Information Games
In
Posters Tue
[
Paper]
[
Video Presentation]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #227
Multi-output Polynomial Networks and Factorization Machines
In
Posters Tue
[
Paper]
Poster
Tue Dec 05 06:30 PM -- 10:30 PM (PST) @ Pacific Ballroom #228
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples
In
Posters Tue