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Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Improving generalization by controlling label-noise information in neural network weights
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Optimal Transport for Cross-Domain Alignment
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
ConQUR: Mitigating Delusional Bias in Deep Q-Learning
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Generalization via Derandomization
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Perceptual Generative Autoencoders
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Efficient Continuous Pareto Exploration in Multi-Task Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Lorentz Group Equivariant Neural Network for Particle Physics
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
Distribution Augmentation for Generative Modeling
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Time-aware Large Kernel Convolutions
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Breaking the Curse of Many Agents: Provable Mean Embedding Q-Iteration for Mean-Field Reinforcement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Provable Smoothness Guarantees for Black-Box Variational Inference
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adversarial Attacks on Copyright Detection Systems
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT) @ Virtual
Better depth-width trade-offs for neural networks through the lens of dynamical systems
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On hyperparameter tuning in general clustering problemsm
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Simultaneous Inference for Massive Data: Distributed Bootstrap
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Efficient Constructions of Checkpoints
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Doubly robust off-policy evaluation with shrinkage
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Optimal Differential Privacy Composition for Exponential Mechanisms
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Normalized Loss Functions for Deep Learning with Noisy Labels
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Variational Inference for Sequential Data with Future Likelihood Estimates
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Goal-Aware Prediction: Learning to Model What Matters
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
No-Regret and Incentive-Compatible Online Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learning with Imperfect Hints
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learned Continual Compression with Adaptive Quantization Modules
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised Learning with Normalizing Flows
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Educating Text Autoencoders: Latent Representation Guidance via Denoising
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Kinematic State Abstraction and Provably Efficient Rich-Observation Reinforcement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Model-Based Reinforcement Learning with Value-Targeted Regression
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Stochastic Hamiltonian Gradient Methods for Smooth Games
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT) @ Virtual
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Semi-Supervised StyleGAN for Disentanglement Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Momentum Improves Normalized SGD
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Multi-Objective Molecule Generation using Interpretable Substructures
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Understanding and Stabilizing GANs' Training Dynamics Using Control Theory
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 07:00 PM -- 07:45 PM (PDT)
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Leveraging Pretrained GANs for Generation with Limited Data
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 08:00 PM -- 08:45 PM (PDT)
Graph Structure of Neural Networks
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
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Slides]
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Uniform Convergence of Rank-weighted Learning
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images