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Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Distributed Online Optimization over a Heterogeneous Network
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Working Memory Graphs
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Generative Adversarial Imitation Learning with Neural Network Parameterization: Global Optimality and Convergence Rate
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Discount Factor as a Regularizer in Reinforcement Learning
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Closing the convergence gap of SGD without replacement
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Efficient Identification in Linear Structural Causal Models with Auxiliary Cutsets
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST) @ Virtual
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST) @ Virtual
An end-to-end approach for the verification problem: learning the right distance
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Strategyproof Mean Estimation from Multiple-Choice Questions
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Online Pricing with Offline Data: Phase Transition and Inverse Square Law
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
On the Unreasonable Effectiveness of the Greedy Algorithm: Greedy Adapts to Sharpness
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST) @ Virtual
Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Detecting Out-of-Distribution Examples with Gram Matrices
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Invariant Risk Minimization Games
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Is Local SGD Better than Minibatch SGD?
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
The Tree Ensemble Layer: Differentiability meets Conditional Computation
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Informative Dropout for Robust Representation Learning: A Shape-bias Perspective
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 12:00 PM -- 12:45 PM (KST)
Parameterized Rate-Distortion Stochastic Encoder
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Nonparametric Score Estimators
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Boosting for Control of Dynamical Systems
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Overfitting in adversarially robust deep learning
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Oracle Efficient Private Non-Convex Optimization
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Neural Clustering Processes
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Batch Reinforcement Learning with Hyperparameter Gradients
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Differentially Private Set Union
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
An EM Approach to Non-autoregressive Conditional Sequence Generation
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
DROCC: Deep Robust One-Class Classification
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Parametric Gaussian Process Regressors
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Representations for Stable Off-Policy Reinforcement Learning
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST) @ Virtual
Estimating the Number and Effect Sizes of Non-null Hypotheses
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
NADS: Neural Architecture Distribution Search for Uncertainty Awareness
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Finite-Time Convergence in Continuous-Time Optimization
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Adversarial Neural Pruning with Latent Vulnerability Suppression
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST) @ Virtual
Stronger and Faster Wasserstein Adversarial Attacks
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Slides]
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST)
Feature Noise Induces Loss Discrepancy Across Groups
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Meta-learning for Mixed Linear Regression
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 11:00 AM -- 11:45 AM (KST) @ Virtual
Angular Visual Hardness
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Slides]
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