(106 events) Timezone: America/Los_Angeles
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Oral
Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Representation/Relational
Learning Physical Graph Representations from Visual Scenes
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Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
When and How to Lift the Lockdown? Global COVID-19 Scenario Analysis and Policy Assessment using Compartmental Gaussian Processes
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Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Language Models are Few-Shot Learners
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Mon Dec 07 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search
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Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Representation/Relational
Multi-label Contrastive Predictive Coding
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Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Multi-Task Temporal Shift Attention Networks for On-Device Contactless Vitals Measurement
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Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Language/Audio Applications
Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search
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Mon Dec 07 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Novelty Search in Representational Space for Sample Efficient Exploration
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Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Representation/Relational
Equivariant Networks for Hierarchical Structures
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Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: COVID/Health/Bio Applications
Neural encoding with visual attention
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Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Language/Audio Applications
The Cone of Silence: Speech Separation by Localization
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Mon Dec 07 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Exact Recovery of Mangled Clusters with Same-Cluster Queries
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Deep Energy-based Modeling of Discrete-Time Physics
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Vision Applications
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Multiscale Deep Equilibrium Models
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Improved Sample Complexity for Incremental Autonomous Exploration in MDPs
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Social/Privacy
Adversarially Robust Streaming Algorithms via Differential Privacy
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Tue Dec 08 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Learning Theory
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Deep Transformation-Invariant Clustering
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
SLIP: Learning to Predict in Unknown Dynamical Systems with Long-Term Memory
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Vision Applications
Causal Intervention for Weakly-Supervised Semantic Segmentation
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
On the Modularity of Hypernetworks
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Escaping the Gravitational Pull of Softmax
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Social/Privacy
Differentially Private Clustering: Tight Approximation Ratios
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Tue Dec 08 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Learning Theory
Efficient active learning of sparse halfspaces with arbitrary bounded noise
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Clustering/Ranking
Partially View-aligned Clustering
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Dynamical Sys/Density/Sparsity
Dissecting Neural ODEs
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Vision Applications
Convolutional Generation of Textured 3D Meshes
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
Training Generative Adversarial Networks with Limited Data
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Reinforcement Learning
FLAMBE: Structural Complexity and Representation Learning of Low Rank MDPs
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Social/Privacy
Locally private non-asymptotic testing of discrete distributions is faster using interactive mechanisms
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Tue Dec 08 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Learning Theory
Learning Parities with Neural Networks
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Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Vision Applications
Space-Time Correspondence as a Contrastive Random Walk
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Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Implicit Neural Representations with Periodic Activation Functions
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Tue Dec 08 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
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Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Vision Applications
Rethinking Pre-training and Self-training
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Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Pixel-Level Cycle Association: A New Perspective for Domain Adaptive Semantic Segmentation
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Tue Dec 08 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Learning Individually Inferred Communication for Multi-Agent Cooperation
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Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Vision Applications
Do Adversarially Robust ImageNet Models Transfer Better?
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Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning/Theory
Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators
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Tue Dec 08 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Reinforcement Learning
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
High-Fidelity Generative Image Compression
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Continual Deep Learning by Functional Regularisation of Memorable Past
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
Ultra-Low Precision 4-bit Training of Deep Neural Networks
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Network-to-Network Translation with Conditional Invertible Neural Networks
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
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Wed Dec 09 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Optimization
Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Learning Composable Energy Surrogates for PDE Order Reduction
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
Look-ahead Meta Learning for Continual Learning
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
Kernel Methods Through the Roof: Handling Billions of Points Efficiently
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
Reservoir Computing meets Recurrent Kernels and Structured Transforms
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Causal Imitation Learning With Unobserved Confounders
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Metric-Free Individual Fairness in Online Learning
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Wed Dec 09 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Optimization
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: COVID/Applications/Composition
Hierarchically Organized Latent Modules for Exploratory Search in Morphogenetic Systems
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Continual/Meta/Misc Learning
NeuMiss networks: differentiable programming for supervised learning with missing values.
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Kernel Methods/Optimization
A Group-Theoretic Framework for Data Augmentation
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
The interplay between randomness and structure during learning in RNNs
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Probabilistic/Causality
Gradient Estimation with Stochastic Softmax Tricks
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Social/Adversarial Learning
Fair regression via plug-in estimator and recalibration with statistical guarantees
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Wed Dec 09 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Optimization
Acceleration with a Ball Optimization Oracle
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Wed Dec 09 06:45 AM -- 07:00 AM (PST) @ Orals & Spotlights: Optimization
Convex optimization based on global lower second-order models
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Wed Dec 09 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Vision Applications
Learning Implicit Functions for Topology-Varying Dense 3D Shape Correspondence
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Wed Dec 09 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
FrugalML: How to use ML Prediction APIs more accurately and cheaply
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Wed Dec 09 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Learning Theory
Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method
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Wed Dec 09 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Vision Applications
LoopReg: Self-supervised Learning of Implicit Surface Correspondences, Pose and Shape for 3D Human Mesh Registration
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Wed Dec 09 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity
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Wed Dec 09 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Learning Theory
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs
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Wed Dec 09 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Vision Applications
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
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Wed Dec 09 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Graph/Meta Learning/Software
PyGlove: Symbolic Programming for Automated Machine Learning
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Wed Dec 09 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Learning Theory
Worst-Case Analysis for Randomly Collected Data
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Graph Cross Networks with Vertex Infomax Pooling
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Contrastive learning of global and local features for medical image segmentation with limited annotations
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Deep Learning
A shooting formulation of deep learning
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Neuroscience
Learning abstract structure for drawing by efficient motor program induction
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Optimization/Theory
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
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Thu Dec 10 06:00 AM -- 06:15 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Robust-Adaptive Control of Linear Systems: beyond Quadratic Costs
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Fast and Flexible Temporal Point Processes with Triangular Maps
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Erdos Goes Neural: an Unsupervised Learning Framework for Combinatorial Optimization on Graphs
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
Bootstrap Your Own Latent - A New Approach to Self-Supervised Learning
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Deep Learning
On the training dynamics of deep networks with $L_2$ regularization
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Neuroscience
Non-reversible Gaussian processes for identifying latent dynamical structure in neural data
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Optimization/Theory
Towards a Better Global Loss Landscape of GANs
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Thu Dec 10 06:15 AM -- 06:30 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Self-Paced Deep Reinforcement Learning
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Probabilistic Models/Statistics
Greedy inference with structure-exploiting lazy maps
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Graph/Relational/Theory
Graph Random Neural Networks for Semi-Supervised Learning on Graphs
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Unsupervised/Probabilistic
SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Deep Learning
Compositional Explanations of Neurons
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Neuroscience
Gibbs Sampling with People
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Optimization/Theory
Online Sinkhorn: Optimal Transport distances from sample streams
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Thu Dec 10 06:30 AM -- 06:45 AM (PST) @ Orals & Spotlights: Reinforcement Learning
Leverage the Average: an Analysis of KL Regularization in Reinforcement Learning
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Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Optimization
Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization
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Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Theory-Inspired Path-Regularized Differential Network Architecture Search
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Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Deep Learning
Is normalization indispensable for training deep neural network?
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Thu Dec 10 06:00 PM -- 06:15 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Point process models for sequence detection in high-dimensional neural spike trains
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Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Optimization
The Primal-Dual method for Learning Augmented Algorithms
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Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows
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Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Deep Learning
Understanding Approximate Fisher Information for Fast Convergence of Natural Gradient Descent in Wide Neural Networks
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Thu Dec 10 06:15 PM -- 06:30 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
Reconstructing Perceptive Images from Brain Activity by Shape-Semantic GAN
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Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Optimization
Fully Dynamic Algorithm for Constrained Submodular Optimization
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Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Health/AutoML/(Soft|Hard)ware
Transferable Graph Optimizers for ML Compilers
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Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Deep Learning
Spectra of the Conjugate Kernel and Neural Tangent Kernel for linear-width neural networks
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Thu Dec 10 06:30 PM -- 06:45 PM (PST) @ Orals & Spotlights: Neuroscience/Probabilistic
A mathematical theory of cooperative communication
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