(423 events)
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Invited Talk (Posner Lecture)
Wed Dec 05 05:30 AM -- 06:20 AM (PST) @ Room 220 CD
Reproducible, Reusable, and Robust Reinforcement Learning
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 220 CD
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 220 E
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Spotlight
Wed Dec 05 06:45 AM -- 06:50 AM (PST) @ Room 517 CD
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 220 CD
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 220 E
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Spotlight
Wed Dec 05 06:50 AM -- 06:55 AM (PST) @ Room 517 CD
Leveraged volume sampling for linear regression
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 220 CD
End-to-End Differentiable Physics for Learning and Control
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 220 E
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Spotlight
Wed Dec 05 06:55 AM -- 07:00 AM (PST) @ Room 517 CD
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 220 CD
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 220 E
Neighbourhood Consensus Networks
Spotlight
Wed Dec 05 07:00 AM -- 07:05 AM (PST) @ Room 517 CD
Sublinear Time Low-Rank Approximation of Distance Matrices
Oral
Wed Dec 05 07:05 AM -- 07:20 AM (PST) @ Room 220 CD
Exploration in Structured Reinforcement Learning
Oral
Wed Dec 05 07:05 AM -- 07:20 AM (PST) @ Room 220 E
Visual Memory for Robust Path Following
Oral
Wed Dec 05 07:05 AM -- 07:20 AM (PST) @ Room 517 CD
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 220 CD
Acceleration through Optimistic No-Regret Dynamics
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 220 E
Recurrent Transformer Networks for Semantic Correspondence
Spotlight
Wed Dec 05 07:20 AM -- 07:25 AM (PST) @ Room 517 CD
Minimax Statistical Learning with Wasserstein distances
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 220 CD
On Oracle-Efficient PAC RL with Rich Observations
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 220 E
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Spotlight
Wed Dec 05 07:25 AM -- 07:30 AM (PST) @ Room 517 CD
Generalization Bounds for Uniformly Stable Algorithms
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 220 CD
Constant Regret, Generalized Mixability, and Mirror Descent
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 220 E
Sanity Checks for Saliency Maps
Spotlight
Wed Dec 05 07:30 AM -- 07:35 AM (PST) @ Room 517 CD
A loss framework for calibrated anomaly detection
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 220 CD
Efficient Online Portfolio with Logarithmic Regret
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 220 E
A Probabilistic U-Net for Segmentation of Ambiguous Images
Spotlight
Wed Dec 05 07:35 AM -- 07:40 AM (PST) @ Room 517 CD
Sharp Bounds for Generalized Uniformity Testing
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 220 CD
Solving Large Sequential Games with the Excessive Gap Technique
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 220 E
Virtual Class Enhanced Discriminative Embedding Learning
Spotlight
Wed Dec 05 07:40 AM -- 07:45 AM (PST) @ Room 517 CD
Convex Elicitation of Continuous Properties
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D4
RieszNets: Accurate Real-Time 2D/3D Image Super-Resolution
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D9
A Cooperative Visually Grounded Dialogue Game with a Humanoid Robot
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D6
Deep Reinforcement Learning for Online Order Dispatching and Driver Repositioning in Ride-sharing
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D10
Automatic Curriculum Generation Applied to Teaching Novices a Short Bach Piano Segment
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D1
BigBlueBot: A Demonstration of How to Detect Egregious Conversations with Chatbots
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D7
Multi-Word Imputation and Sentence Expansion
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D3
Play Imperfect Information Games against Neural Networks
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510
Perception, sensing, motion planning and robot control using AI for automated feeding of upper-extremity mobility impaired people
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510 ABCD #D8
Autonomous robotic manipulation with a desktop research platform
Demonstration
Wed Dec 05 07:45 AM -- 04:30 PM (PST) @ Room 510
PatentAI: IP Infringement Detection with Enhanced Paraphrase Identification
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #1
Balanced Policy Evaluation and Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #2
Exponentiated Strongly Rayleigh Distributions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #3
Parsimonious Bayesian deep networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #4
Stein Variational Gradient Descent as Moment Matching
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #5
Hamiltonian Variational Auto-Encoder
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #6
Predictive Approximate Bayesian Computation via Saddle Points
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #7
Importance Weighting and Variational Inference
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #8
Orthogonally Decoupled Variational Gaussian Processes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #9
ATOMO: Communication-efficient Learning via Atomic Sparsification
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #10
Sparsified SGD with Memory
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #11
SEGA: Variance Reduction via Gradient Sketching
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #12
Non-monotone Submodular Maximization in Exponentially Fewer Iterations
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #13
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #14
Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #15
Inexact trust-region algorithms on Riemannian manifolds
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #16
On Markov Chain Gradient Descent
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #17
Gradient Descent Meets Shift-and-Invert Preconditioning for Eigenvector Computation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #18
Global Non-convex Optimization with Discretized Diffusions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #19
A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #20
The Limit Points of (Optimistic) Gradient Descent in Min-Max Optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #21
Porcupine Neural Networks: Approximating Neural Network Landscapes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #22
Adding One Neuron Can Eliminate All Bad Local Minima
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #23
Improving Explorability in Variational Inference with Annealed Variational Objectives
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #24
Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #25
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #26
Joint Active Feature Acquisition and Classification with Variable-Size Set Encoding
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #27
PCA of high dimensional random walks with comparison to neural network training
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #28
Insights on representational similarity in neural networks with canonical correlation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #29
Adversarial vulnerability for any classifier
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #30
Sanity Checks for Saliency Maps
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #31
MetaGAN: An Adversarial Approach to Few-Shot Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #32
Deep Generative Models with Learnable Knowledge Constraints
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #33
Learning Attractor Dynamics for Generative Memory
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #34
Fast deep reinforcement learning using online adjustments from the past
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #35
Blockwise Parallel Decoding for Deep Autoregressive Models
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #36
Automatic Program Synthesis of Long Programs with a Learned Garbage Collector
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #37
The Global Anchor Method for Quantifying Linguistic Shifts and Domain Adaptation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #38
End-to-End Differentiable Physics for Learning and Control
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #39
Neural Arithmetic Logic Units
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #40
Reinforced Continual Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #41
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #42
Generalizing to Unseen Domains via Adversarial Data Augmentation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #43
On the Local Hessian in Back-propagation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #44
Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #45
Tangent: Automatic differentiation using source-code transformation for dynamically typed array programming
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #46
Simple, Distributed, and Accelerated Probabilistic Programming
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #47
Power-law efficient neural codes provide general link between perceptual bias and discriminability
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #48
DropBlock: A regularization method for convolutional networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #49
Learning sparse neural networks via sensitivity-driven regularization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #50
Critical initialisation for deep signal propagation in noisy rectifier neural networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #51
The streaming rollout of deep networks - towards fully model-parallel execution
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #52
The Spectrum of the Fisher Information Matrix of a Single-Hidden-Layer Neural Network
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #53
Learning Optimal Reserve Price against Non-myopic Bidders
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #54
Beyond Log-concavity: Provable Guarantees for Sampling Multi-modal Distributions using Simulated Tempering Langevin Monte Carlo
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #55
On Binary Classification in Extreme Regions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #57
Improved Algorithms for Collaborative PAC Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #58
Data Amplification: A Unified and Competitive Approach to Property Estimation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #59
Mean-field theory of graph neural networks in graph partitioning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #60
Statistical mechanics of low-rank tensor decomposition
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #61
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #62
The Description Length of Deep Learning models
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #63
Deepcode: Feedback Codes via Deep Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #64
Binary Rating Estimation with Graph Side Information
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #65
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #66
Parameters as interacting particles: long time convergence and asymptotic error scaling of neural networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #67
Towards Understanding Acceleration Tradeoff between Momentum and Asynchrony in Nonconvex Stochastic Optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #68
Asymptotic optimality of adaptive importance sampling
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #69
Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #70
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #71
A Mathematical Model For Optimal Decisions In A Representative Democracy
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #72
Universal Growth in Production Economies
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #73
Convex Elicitation of Continuous Properties
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #74
Contextual Pricing for Lipschitz Buyers
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #75
Learning in Games with Lossy Feedback
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #76
Multiplicative Weights Updates with Constant Step-Size in Graphical Constant-Sum Games
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #77
Solving Large Sequential Games with the Excessive Gap Technique
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #78
Practical exact algorithm for trembling-hand equilibrium refinements in games
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #79
Improving Online Algorithms via ML Predictions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #80
Variance-Reduced Stochastic Gradient Descent on Streaming Data
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #81
Regret Bounds for Robust Adaptive Control of the Linear Quadratic Regulator
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #82
PAC-learning in the presence of adversaries
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #83
Tight Bounds for Collaborative PAC Learning via Multiplicative Weights
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #84
Understanding Weight Normalized Deep Neural Networks with Rectified Linear Units
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #85
Generalization Bounds for Uniformly Stable Algorithms
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #86
Minimax Statistical Learning with Wasserstein distances
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #87
Differentially Private Uniformly Most Powerful Tests for Binomial Data
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #88
Sketching Method for Large Scale Combinatorial Inference
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #89
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #90
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #91
A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #92
Sharp Bounds for Generalized Uniformity Testing
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #93
Testing for Families of Distributions via the Fourier Transform
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #94
High Dimensional Linear Regression using Lattice Basis Reduction
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #95
$\ell_1$-regression with Heavy-tailed Distributions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #96
Constant Regret, Generalized Mixability, and Mirror Descent
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #97
Stochastic Composite Mirror Descent: Optimal Bounds with High Probabilities
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #98
Uniform Convergence of Gradients for Non-Convex Learning and Optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #99
Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 210 #100
Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #101
Early Stopping for Nonparametric Testing
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #102
Chaining Mutual Information and Tightening Generalization Bounds
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #103
Dimensionality Reduction has Quantifiable Imperfections: Two Geometric Bounds
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #104
Minimax Estimation of Neural Net Distance
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #105
Quantifying Learning Guarantees for Convex but Inconsistent Surrogates
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #106
Learning Signed Determinantal Point Processes through the Principal Minor Assignment Problem
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #107
Data-dependent PAC-Bayes priors via differential privacy
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #108
Computationally and statistically efficient learning of causal Bayes nets using path queries
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #109
PAC-Bayes Tree: weighted subtrees with guarantees
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #110
A loss framework for calibrated anomaly detection
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #111
On Oracle-Efficient PAC RL with Rich Observations
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #112
Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #113
Learning from discriminative feature feedback
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #114
How to Start Training: The Effect of Initialization and Architecture
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #115
Bilevel Distance Metric Learning for Robust Image Recognition
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #116
Deep Non-Blind Deconvolution via Generalized Low-Rank Approximation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #117
Unsupervised Depth Estimation, 3D Face Rotation and Replacement
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #118
Neighbourhood Consensus Networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #119
Recurrent Transformer Networks for Semantic Correspondence
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #120
Deep Network for the Integrated 3D Sensing of Multiple People in Natural Images
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #121
A Neural Compositional Paradigm for Image Captioning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #122
Visual Memory for Robust Path Following
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #123
Learning to Exploit Stability for 3D Scene Parsing
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #124
Learning to Decompose and Disentangle Representations for Video Prediction
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #125
Weakly Supervised Dense Event Captioning in Videos
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #126
Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #127
A Probabilistic U-Net for Segmentation of Ambiguous Images
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #128
Forward Modeling for Partial Observation Strategy Games - A StarCraft Defogger
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #129
Adversarial Text Generation via Feature-Mover's Distance
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #130
Virtual Class Enhanced Discriminative Embedding Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #131
Learning Pipelines with Limited Data and Domain Knowledge: A Study in Parsing Physics Problems
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #132
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #133
MULAN: A Blind and Off-Grid Method for Multichannel Echo Retrieval
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #134
Diminishing Returns Shape Constraints for Interpretability and Regularization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #135
Fairness Through Computationally-Bounded Awareness
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #136
On preserving non-discrimination when combining expert advice
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #137
Fairness Behind a Veil of Ignorance: A Welfare Analysis for Automated Decision Making
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #138
Inequity aversion improves cooperation in intertemporal social dilemmas
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #139
On Misinformation Containment in Online Social Networks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #140
Found Graph Data and Planted Vertex Covers
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #141
Inferring Networks From Random Walk-Based Node Similarities
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #142
Fast Greedy MAP Inference for Determinantal Point Process to Improve Recommendation Diversity
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #143
Unorganized Malicious Attacks Detection
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #144
Scalable Robust Matrix Factorization with Nonconvex Loss
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #145
Differentially Private Robust Low-Rank Approximation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #146
Differential Privacy for Growing Databases
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #147
Efficient Neural Network Robustness Certification with General Activation Functions
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #148
Spectral Signatures in Backdoor Attacks
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #149
Constructing Unrestricted Adversarial Examples with Generative Models
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #150
Sublinear Time Low-Rank Approximation of Distance Matrices
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #151
Leveraged volume sampling for linear regression
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #152
Revisiting $(\epsilon, \gamma, \tau)$-similarity learning for domain adaptation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #153
Differential Properties of Sinkhorn Approximation for Learning with Wasserstein Distance
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #154
Algorithms and Theory for Multiple-Source Adaptation
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #155
Synthesize Policies for Transfer and Adaptation across Tasks and Environments
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #156
Acceleration through Optimistic No-Regret Dynamics
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #157
Efficient Online Portfolio with Logarithmic Regret
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #158
Almost Optimal Algorithms for Linear Stochastic Bandits with Heavy-Tailed Payoffs
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #159
A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #160
Exploration in Structured Reinforcement Learning
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #161
Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #162
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #163
Learning Safe Policies with Expert Guidance
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #164
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #165
Is Q-Learning Provably Efficient?
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #166
Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #167
An Off-policy Policy Gradient Theorem Using Emphatic Weightings
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #168
Near-Optimal Time and Sample Complexities for Solving Markov Decision Processes with a Generative Model
Poster
Wed Dec 05 07:45 AM -- 09:45 AM (PST) @ Room 517 AB #169
Monte-Carlo Tree Search for Constrained POMDPs
Invited Talk
Wed Dec 05 11:15 AM -- 12:05 PM (PST) @ Room 220 CD
Investigations into the Human-AI Trust Phenomenon
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 CD
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 220 E
Dynamic Network Model from Partial Observations
Spotlight
Wed Dec 05 12:30 PM -- 12:35 PM (PST) @ Room 517 CD
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 CD
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 220 E
Stochastic Nonparametric Event-Tensor Decomposition
Spotlight
Wed Dec 05 12:35 PM -- 12:40 PM (PST) @ Room 517 CD
Contextual Stochastic Block Models
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 CD
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 220 E
On GANs and GMMs
Spotlight
Wed Dec 05 12:40 PM -- 12:45 PM (PST) @ Room 517 CD
Entropy Rate Estimation for Markov Chains with Large State Space
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 CD
Meta-Reinforcement Learning of Structured Exploration Strategies
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 220 E
GILBO: One Metric to Measure Them All
Spotlight
Wed Dec 05 12:45 PM -- 12:50 PM (PST) @ Room 517 CD
Blind Deconvolutional Phase Retrieval via Convex Programming
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 220 CD
Policy Optimization via Importance Sampling
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 220 E
Isolating Sources of Disentanglement in Variational Autoencoders
Oral
Wed Dec 05 12:50 PM -- 01:05 PM (PST) @ Room 517 CD
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Spotlight
Wed Dec 05 01:05 PM -- 01:10 PM (PST) @ Room 220 CD
A Bayesian Approach to Generative Adversarial Imitation Learning
Spotlight
Wed Dec 05 01:05 PM -- 01:10 PM (PST) @ Room 517 CD
Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 CD
Visual Reinforcement Learning with Imagined Goals
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 220 E
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
Spotlight
Wed Dec 05 01:10 PM -- 01:15 PM (PST) @ Room 517 CD
On the Local Minima of the Empirical Risk
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 CD
Randomized Prior Functions for Deep Reinforcement Learning
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 220 E
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Spotlight
Wed Dec 05 01:15 PM -- 01:20 PM (PST) @ Room 517 CD
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 CD
Playing hard exploration games by watching YouTube
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 220 E
Adversarially Robust Optimization with Gaussian Processes
Spotlight
Wed Dec 05 01:20 PM -- 01:25 PM (PST) @ Room 517 CD
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 220 CD
Recurrent World Models Facilitate Policy Evolution
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 220 E
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
Oral
Wed Dec 05 01:25 PM -- 01:40 PM (PST) @ Room 517 CD
Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 CD
Reducing Network Agnostophobia
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 220 E
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Spotlight
Wed Dec 05 01:40 PM -- 01:45 PM (PST) @ Room 517 CD
Natasha 2: Faster Non-Convex Optimization Than SGD
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 CD
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 220 E
Proximal Graphical Event Models
Spotlight
Wed Dec 05 01:45 PM -- 01:50 PM (PST) @ Room 517 CD
Escaping Saddle Points in Constrained Optimization
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 CD
Geometrically Coupled Monte Carlo Sampling
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 220 E
Heterogeneous Multi-output Gaussian Process Prediction
Spotlight
Wed Dec 05 01:50 PM -- 01:55 PM (PST) @ Room 517 CD
On Coresets for Logistic Regression
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 CD
Scalable Laplacian K-modes
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 220 E
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Spotlight
Wed Dec 05 01:55 PM -- 02:00 PM (PST) @ Room 517 CD
Legendre Decomposition for Tensors
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #1
Equality of Opportunity in Classification: A Causal Approach
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #2
Confounding-Robust Policy Improvement
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #3
Causal Discovery from Discrete Data using Hidden Compact Representation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #4
Dirichlet belief networks for topic structure learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #5
Approximate Knowledge Compilation by Online Collapsed Importance Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #6
Proximal Graphical Event Models
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #7
Dynamic Network Model from Partial Observations
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #8
HOGWILD!-Gibbs can be PanAccurate
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #9
DAGs with NO TEARS: Continuous Optimization for Structure Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #10
Mean Field for the Stochastic Blockmodel: Optimization Landscape and Convergence Issues
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #11
Coupled Variational Bayes via Optimization Embedding
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #12
Stochastic Nonparametric Event-Tensor Decomposition
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #13
GPyTorch: Blackbox Matrix-Matrix Gaussian Process Inference with GPU Acceleration
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #14
Heterogeneous Multi-output Gaussian Process Prediction
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #15
Probabilistic Matrix Factorization for Automated Machine Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #16
Stochastic Expectation Maximization with Variance Reduction
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #17
Generative Neural Machine Translation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #19
Variational Learning on Aggregate Outputs with Gaussian Processes
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #20
Learning Invariances using the Marginal Likelihood
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #21
Dirichlet-based Gaussian Processes for Large-scale Calibrated Classification
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #22
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #23
Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #24
Adversarially Robust Optimization with Gaussian Processes
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #25
Multi-objective Maximization of Monotone Submodular Functions with Cardinality Constraint
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #26
Variational PDEs for Acceleration on Manifolds and Application to Diffeomorphisms
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #27
Zeroth-order (Non)-Convex Stochastic Optimization via Conditional Gradient and Gradient Updates
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #28
Computing Higher Order Derivatives of Matrix and Tensor Expressions
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #29
How SGD Selects the Global Minima in Over-parameterized Learning: A Dynamical Stability Perspective
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #30
The Effect of Network Width on the Performance of Large-batch Training
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #31
COLA: Decentralized Linear Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #32
Distributed Stochastic Optimization via Adaptive SGD
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #33
Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #34
Breaking the Span Assumption Yields Fast Finite-Sum Minimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #35
Optimization for Approximate Submodularity
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #36
Submodular Maximization via Gradient Ascent: The Case of Deep Submodular Functions
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #37
Maximizing Induced Cardinality Under a Determinantal Point Process
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #38
Efficient Algorithms for Non-convex Isotonic Regression through Submodular Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #39
Revisiting Decomposable Submodular Function Minimization with Incidence Relations
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #40
Coordinate Descent with Bandit Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #41
Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #42
Stochastic Cubic Regularization for Fast Nonconvex Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #43
On the Local Minima of the Empirical Risk
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #44
Stochastic Nested Variance Reduced Gradient Descent for Nonconvex Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #45
NEON2: Finding Local Minima via First-Order Oracles
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #46
How Much Restricted Isometry is Needed In Nonconvex Matrix Recovery?
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #47
Escaping Saddle Points in Constrained Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #48
Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #49
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #50
Natasha 2: Faster Non-Convex Optimization Than SGD
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #51
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #52
Structured Local Minima in Sparse Blind Deconvolution
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #53
Algorithmic Regularization in Learning Deep Homogeneous Models: Layers are Automatically Balanced
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #54
Are ResNets Provably Better than Linear Predictors?
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #55
Adaptive Methods for Nonconvex Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #56
Alternating optimization of decision trees, with application to learning sparse oblique trees
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #57
GILBO: One Metric to Measure Them All
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #58
Isolating Sources of Disentanglement in Variational Autoencoders
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #59
On GANs and GMMs
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #60
Assessing Generative Models via Precision and Recall
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #61
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #62
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #63
Forecasting Treatment Responses Over Time Using Recurrent Marginal Structural Networks
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #64
Backpropagation with Callbacks: Foundations for Efficient and Expressive Differentiable Programming
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #65
Recurrent World Models Facilitate Policy Evolution
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #66
Long short-term memory and Learning-to-learn in networks of spiking neurons
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #67
Distributed Weight Consolidation: A Brain Segmentation Case Study
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #68
Learning to Play With Intrinsically-Motivated, Self-Aware Agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #69
Gradient Descent for Spiking Neural Networks
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #70
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #71
Temporal alignment and latent Gaussian process factor inference in population spike trains
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #72
Information-based Adaptive Stimulus Selection to Optimize Communication Efficiency in Brain-Computer Interfaces
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #73
Model-based targeted dimensionality reduction for neuronal population data
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #74
Objective and efficient inference for couplings in neuronal networks
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #75
The emergence of multiple retinal cell types through efficient coding of natural movies
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #76
Benefits of over-parameterization with EM
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #77
On Coresets for Logistic Regression
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #78
On Learning Markov Chains
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #79
Contextual Stochastic Block Models
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #80
Estimators for Multivariate Information Measures in General Probability Spaces
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #81
Blind Deconvolutional Phase Retrieval via Convex Programming
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #82
Entropy Rate Estimation for Markov Chains with Large State Space
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #83
Bandit Learning in Concave N-Person Games
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #84
Depth-Limited Solving for Imperfect-Information Games
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #85
The Physical Systems Behind Optimization Algorithms
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #86
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #87
Robust Learning of Fixed-Structure Bayesian Networks
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #88
Information-theoretic Limits for Community Detection in Network Models
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #89
Generalizing Graph Matching beyond Quadratic Assignment Model
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #90
Improving Simple Models with Confidence Profiles
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #91
Online Learning with an Unknown Fairness Metric
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #92
Legendre Decomposition for Tensors
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #93
The Price of Privacy for Low-rank Factorization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #94
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #95
Differentially Private Change-Point Detection
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #96
Scalable Laplacian K-modes
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #97
Geometrically Coupled Monte Carlo Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #98
Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #99
Faster Online Learning of Optimal Threshold for Consistent F-measure Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 210 #100
Reducing Network Agnostophobia
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #101
Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #102
Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #103
The Everlasting Database: Statistical Validity at a Fair Price
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #104
Scalar Posterior Sampling with Applications
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #105
Iterative Value-Aware Model Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #106
A Lyapunov-based Approach to Safe Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #107
Temporal Regularization for Markov Decision Process
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #108
Maximum Causal Tsallis Entropy Imitation Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #109
Policy Optimization via Importance Sampling
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #110
Reinforcement Learning of Theorem Proving
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #111
Simple random search of static linear policies is competitive for reinforcement learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #112
Meta-Gradient Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #113
Reinforcement Learning for Solving the Vehicle Routing Problem
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #114
Learn What Not to Learn: Action Elimination with Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #115
REFUEL: Exploring Sparse Features in Deep Reinforcement Learning for Fast Disease Diagnosis
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #116
Learning Plannable Representations with Causal InfoGAN
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #117
Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #118
Transfer of Deep Reactive Policies for MDP Planning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #119
Q-learning with Nearest Neighbors
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #120
Distributed Multitask Reinforcement Learning with Quadratic Convergence
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #121
Breaking the Curse of Horizon: Infinite-Horizon Off-Policy Estimation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #122
Constrained Cross-Entropy Method for Safe Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #123
Representation Balancing MDPs for Off-policy Policy Evaluation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #124
Dual Policy Iteration
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #125
Occam's razor is insufficient to infer the preferences of irrational agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #126
Transfer of Value Functions via Variational Methods
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #127
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #128
Online Robust Policy Learning in the Presence of Unknown Adversaries
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #129
A Bayesian Approach to Generative Adversarial Imitation Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #130
Verifiable Reinforcement Learning via Policy Extraction
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #131
Deep Reinforcement Learning of Marked Temporal Point Processes
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #132
On Learning Intrinsic Rewards for Policy Gradient Methods
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #133
Evolution-Guided Policy Gradient in Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #134
Meta-Reinforcement Learning of Structured Exploration Strategies
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #135
Diversity-Driven Exploration Strategy for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #136
Genetic-Gated Networks for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #137
Memory Augmented Policy Optimization for Program Synthesis and Semantic Parsing
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #138
Hardware Conditioned Policies for Multi-Robot Transfer Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #139
Reward learning from human preferences and demonstrations in Atari
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #140
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #141
Visual Reinforcement Learning with Imagined Goals
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #142
Playing hard exploration games by watching YouTube
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #143
Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #144
Learning to Navigate in Cities Without a Map
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #145
Learning Abstract Options
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #146
Object-Oriented Dynamics Predictor
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #147
A Deep Bayesian Policy Reuse Approach Against Non-Stationary Agents
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #148
Learning Attentional Communication for Multi-Agent Cooperation
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #149
Deep Dynamical Modeling and Control of Unsteady Fluid Flows
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #150
Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #151
Zero-Shot Transfer with Deictic Object-Oriented Representation in Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #152
Total stochastic gradient algorithms and applications in reinforcement learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #153
Fighting Boredom in Recommender Systems with Linear Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #154
Randomized Prior Functions for Deep Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #155
Scalable Coordinated Exploration in Concurrent Reinforcement Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #156
Context-dependent upper-confidence bounds for directed exploration
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #157
Multi-Agent Generative Adversarial Imitation Learning
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #158
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #159
Learning to Share and Hide Intentions using Information Regularization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #160
Credit Assignment For Collective Multiagent RL With Global Rewards
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #161
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #162
Learning Others' Intentional Models in Multi-Agent Settings Using Interactive POMDPs
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #163
Bayesian Control of Large MDPs with Unknown Dynamics in Data-Poor Environments
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #164
Negotiable Reinforcement Learning for Pareto Optimal Sequential Decision-Making
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #165
rho-POMDPs have Lipschitz-Continuous epsilon-Optimal Value Functions
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #166
Learning Task Specifications from Demonstrations
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #167
Teaching Inverse Reinforcement Learners via Features and Demonstrations
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #168
Single-Agent Policy Tree Search With Guarantees
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #169
From Stochastic Planning to Marginal MAP
Poster
Wed Dec 05 02:00 PM -- 04:00 PM (PST) @ Room 517 AB #170
Dual Principal Component Pursuit: Improved Analysis and Efficient Algorithms