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Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sequence Generation with Mixed Representations
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Input-Sparsity Low Rank Approximation in Schatten Norm
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Acceleration through spectral density estimation
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Differentiable Product Quantization for End-to-End Embedding Compression
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On a projective ensemble approach to two sample test for equality of distributions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Black-Box Methods for Restoring Monotonicity
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Reinforcement Learning with Smooth Policy
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Does label smoothing mitigate label noise?
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Meta Variance Transfer: Learning to Augment from the Others
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Causal Inference using Gaussian Processes with Structured Latent Confounders
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustifying Sequential Neural Processes
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Calibrated Surrogates for the Multi-Label F-Measure
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Mapping natural-language problems to formal-language solutions using structured neural representations
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustness to Programmable String Transformations via Augmented Abstract Training
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Improving Transformer Optimization Through Better Initialization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Do GANs always have Nash equilibria?
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Linear Lower Bounds and Conditioning of Differentiable Games
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bandits for BMO Functions
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Countering Language Drift with Seeded Iterated Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bridging the Gap Between f-GANs and Wasserstein GANs
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Region-Based Active Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Adaptive Adversarial Multi-task Representation Learning
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Task Understanding from Confusing Multi-task Data
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
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
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 06:00 PM -- 06:45 PM (PDT) @ Virtual
ConQUR: Mitigating Delusional Bias in Deep Q-Learning
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 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 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
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 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
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
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
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 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
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
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 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
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 06:00 PM -- 06:45 PM (PDT) @ Virtual
Stochastic Hamiltonian Gradient Methods for Smooth Games
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
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
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
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
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 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Few-shot Domain Adaptation by Causal Mechanism Transfer
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Slides]
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On Layer Normalization in the Transformer Architecture
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
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