ICML 2020

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July 12, 2020 Expo schedule » New in ML »

Timezone: Europe/Vienna »

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Thu Jul 16, 2020
Time	Virtual
04:00 PM (Posters)	Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Virtual On Leveraging Pretrained GANs for Generation with Limited Data Virtual ConQUR: Mitigating Delusional Bias in Deep Q-Learning Virtual Multi-Objective Molecule Generation using Interpretable Substructures Virtual Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing Virtual Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion Virtual Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Virtual Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Virtual On Efficient Constructions of Checkpoints Virtual Simultaneous Inference for Massive Data: Distributed Bootstrap Virtual Educating Text Autoencoders: Latent Representation Guidance via Denoising Virtual Better depth-width trade-offs for neural networks through the lens of dynamical systems Virtual Time-aware Large Kernel Convolutions Virtual Model-Based Reinforcement Learning with Value-Targeted Regression Virtual Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence Virtual R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Virtual Stochastic Hamiltonian Gradient Methods for Smooth Games Virtual A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model Virtual

Thu Jul 16, 2020

Time

Virtual

04:00 PM (Posters)

Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies Virtual

On Leveraging Pretrained GANs for Generation with Limited Data Virtual

ConQUR: Mitigating Delusional Bias in Deep Q-Learning Virtual

Multi-Objective Molecule Generation using Interpretable Substructures Virtual

Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing Virtual

Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion Virtual

Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates Virtual

Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation Virtual

On Efficient Constructions of Checkpoints Virtual

Simultaneous Inference for Massive Data: Distributed Bootstrap Virtual

Educating Text Autoencoders: Latent Representation Guidance via Denoising Virtual

Better depth-width trade-offs for neural networks through the lens of dynamical systems Virtual

Time-aware Large Kernel Convolutions Virtual

Model-Based Reinforcement Learning with Value-Targeted Regression Virtual

Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence Virtual

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games Virtual

Stochastic Hamiltonian Gradient Methods for Smooth Games Virtual

A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model Virtual