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Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 170
Fundamental computational limits of weak learnability in high-dimensional multi-index models
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Slides]
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 205
Cost-aware simulation-based inference
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 169
Faster WIND: Accelerating Iterative Best-of-$N$ Distillation for LLM Alignment
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 3
Bandit Pareto Set Identification in a Multi-Output Linear Model
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Slides]
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 53
Score matching for bridges without learning time-reversals
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 197
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 203
Copula Based Trainable Calibration Error Estimator of Multi-Label Classification with Label Interdependencies
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 45
Sparse Activations as Conformal Predictors
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 206
TVineSynth: A Truncated C-Vine Copula Generator of Synthetic Tabular Data to Balance Privacy and Utility
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 88
The Sample Complexity of Stackelberg Games
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 199
Selecting the Number of Communities for Weighted Degree-Corrected Stochastic Block Models
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Slides]
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 6
Model selection for behavioral learning data and applications to contextual bandits
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 79
Batch, match, and patch: low-rank approximations for score-based variational inference
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 57
Differentiable Causal Structure Learning with Identifiability by NOTIME
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 202
Theoretical Analysis of Leave-one-out Cross Validation for Non-differentiable Penalties under High-dimensional Settings
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 180
General Staircase Mechanisms for Optimal Differential Privacy
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 200
Subspace Recovery in Winsorized PCA: Insights into Accuracy and Robustness
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 204
Estimating the Spectral Moments of the Kernel Integral Operator from Finite Sample Matrices
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 201
The Pivoting Framework: Frank-Wolfe Algorithms with Active Set Size Control
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 198
Differentially Private Graph Data Release: Inefficiencies & Unfairness
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Poster]
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OpenReview]
Poster
Sun May 04 01:00 AM -- 04:00 AM (PDT) @ Hall A-E 15
Bayesian Circular Regression with von Mises Quasi-Processes
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OpenReview]
Poster
@ Hall A-E 123
High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
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OpenReview]
Poster
@ Hall A-E 55
Gated Recurrent Neural Networks with Weighted Time-Delay Feedback
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Slides]
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OpenReview]
Poster
@ Hall A-E 96
Robust Classification by Coupling Data Mollification with Label Smoothing
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OpenReview]
Poster
@ Hall A-E 4
What Ails Generative Structure-based Drug Design: Expressivity is Too Little or Too Much?
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OpenReview]
Poster
@ Hall A-E 13
Max-Rank: Efficient Multiple Testing for Conformal Prediction
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OpenReview]
Poster
@ Hall A-E 59
Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis
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Poster]
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OpenReview]
Poster
@ Hall A-E 130
LITE: Efficiently Estimating Gaussian Probability of Maximality
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Slides]
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OpenReview]
Poster
@ Hall A-E 140
On the Relationship Between Robustness and Expressivity of Graph Neural Networks
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OpenReview]
Poster
@ Hall A-E 143
Stein Boltzmann Sampling: A Variational Approach for Global Optimization
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Slides]
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OpenReview]
Poster
@ Hall A-E 119
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion
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OpenReview]
Poster
@ Hall A-E 190
Cross Validation for Correlated Data in Classification Models
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OpenReview]
Poster
@ Hall A-E 151
Partial Information Decomposition for Data Interpretability and Feature Selection
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OpenReview]
Poster
@ Hall A-E 86
Tight Analysis of Difference-of-Convex Algorithm (DCA) Improves Convergence Rates for Proximal Gradient Descent
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OpenReview]
Poster
@ Hall A-E 10
SNAP: Sequential Non-Ancestor Pruning for Targeted Causal Effect Estimation With an Unknown Graph
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OpenReview]
Poster
@ Hall A-E 117
Kernel Single Proxy Control for Deterministic Confounding
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OpenReview]
Poster
@ Hall A-E 141
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
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OpenReview]
Poster
@ Hall A-E 89
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
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OpenReview]
Poster
@ Hall A-E 188
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
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OpenReview]
Poster
@ Hall A-E 122
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
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OpenReview]
Poster
@ Hall A-E 29
SINE: Scalable MPE Inference for Probabilistic Graphical Models using Advanced Neural Embeddings
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OpenReview]
Poster
@ Hall A-E 1
Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
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OpenReview]
Poster
@ Hall A-E 8
Integer Programming Based Methods and Heuristics for Causal Graph Learning
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OpenReview]
Poster
@ Hall A-E 25
Improving Pre-trained Self-Supervised Embeddings Through Effective Entropy Maximization
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OpenReview]
Poster
@ Hall A-E 85
HAVER: Instance-Dependent Error Bounds for Maximum Mean Estimation and Applications to Q-Learning and Monte Carlo Tree Search
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OpenReview]
Poster
@ Hall A-E 184
$\mathcal{I}$-trustworthy Models. A framework for trustworthiness evaluation of probabilistic classifiers
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OpenReview]
Poster
@ Hall A-E 158
When the Universe is Too Big: Bounding Consideration Probabilities for Plackett-Luce Rankings
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OpenReview]
Poster
@ Hall A-E 99
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
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OpenReview]
Poster
@ Hall A-E 182
Ordered $\mathcal{V}$-information Growth: A Fresh Perspective on Shared Information
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OpenReview]
Poster
@ Hall A-E 167
MING: A Functional Approach to Learning Molecular Generative Models
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OpenReview]
Poster
@ Hall A-E 48
The Strong Product Model for Network Inference without Independence Assumptions
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OpenReview]
Poster
@ Hall A-E 81
RTD-Lite: Scalable Topological Analysis for Comparing Weighted Graphs in Learning Tasks
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OpenReview]
Poster
@ Hall A-E 24
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
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OpenReview]
Poster
@ Hall A-E 28
On the Inherent Privacy of Zeroth-Order Projected Gradient Descent
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OpenReview]
Poster
@ Hall A-E 157
Parameter estimation in state space models using particle importance sampling
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OpenReview]
Poster
@ Hall A-E 112
Q-learning for Quantile MDPs: A Decomposition, Performance, and Convergence Analysis
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OpenReview]
Poster
@ Hall A-E 30
Vecchia Gaussian Process Ensembles on Internal Representations of Deep Neural Networks
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OpenReview]
Poster
@ Hall A-E 166
Computing high-dimensional optimal transport by flow neural networks
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OpenReview]
Poster
@ Hall A-E 129
Meta-learning Task-specific Regularization Weights for Few-shot Linear Regression
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OpenReview]
Poster
@ Hall A-E 144
Asynchronous Decentralized Optimization with Constraints: Achievable Speeds of Convergence for Directed Graphs
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OpenReview]
Poster
@ Hall A-E 60
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
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OpenReview]
Poster
@ Hall A-E 163
Decoupling epistemic and aleatoric uncertainties with possibility theory
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OpenReview]
Poster
@ Hall A-E 174
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
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OpenReview]
Poster
@ Hall A-E 33
A Differential Inclusion Approach for Learning Heterogeneous Sparsity in Neuroimaging Analysis
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OpenReview]
Poster
@ Hall A-E 20
Zero-Shot Action Generalization with Limited Observations
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OpenReview]
Poster
@ Hall A-E 153
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
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OpenReview]
Poster
@ Hall A-E 142
Decision from Suboptimal Classifiers: Excess Risk Pre- and Post-Calibration
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OpenReview]
Poster
@ Hall A-E 34
Learning Identifiable Structures Helps Avoid Bias in DNN-based Supervised Causal Learning
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OpenReview]
Poster
@ Hall A-E 138
Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders
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OpenReview]
Poster
@ Hall A-E 173
TRADE: Transfer of Distributions between External Conditions with Normalizing Flows
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OpenReview]
Poster
@ Hall A-E 114
Analyzing Generative Models by Manifold Entropic Metrics
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OpenReview]
Poster
@ Hall A-E 109
Distributional Off-policy Evaluation with Bellman Residual Minimization
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OpenReview]
Poster
@ Hall A-E 175
Flexible and Efficient Probabilistic PDE Solvers through Gaussian Markov Random Fields
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OpenReview]
Poster
@ Hall A-E 164
All models are wrong, some are useful: Model Selection with Limited Labels
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OpenReview]
Poster
@ Hall A-E 22
Deep Optimal Sensor Placement for Black Box Stochastic Simulations
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OpenReview]
Poster
@ Hall A-E 135
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints
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OpenReview]
Poster
@ Hall A-E 126
Fully Dynamic Adversarially Robust Correlation Clustering in Polylogarithmic Update Time
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OpenReview]
Poster
@ Hall A-E 131
On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
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OpenReview]
Poster
@ Hall A-E 46
Sampling from the Random Linear Model via Stochastic Localization Up to the AMP Threshold
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OpenReview]
Poster
@ Hall A-E 73
FedBaF: Federated Learning Aggregation Biased by a Foundation Model
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OpenReview]
Poster
@ Hall A-E 185
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression
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OpenReview]
Poster
@ Hall A-E 128
Classification of High-dimensional Time Series in Spectral Domain Using Explainable Features with Applications to Neuroimaging Data
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OpenReview]
Poster
@ Hall A-E 80
Unconditionally Calibrated Priors for Beta Mixture Density Networks
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OpenReview]
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@ Hall A-E 178
Spectral Differential Network Analysis for High-Dimensional Time Series
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OpenReview]
Poster
@ Hall A-E 42
Disentangling impact of capacity, objective, batchsize, estimators, and step-size on flow VI
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OpenReview]
Poster
@ Hall A-E 103
Density Ratio-based Proxy Causal Learning Without Density Ratios
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OpenReview]
Poster
@ Hall A-E 83
Conditioning diffusion models by explicit forward-backward bridging
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OpenReview]
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@ Hall A-E 133
Understanding the Effect of GCN Convolutions in Regression Tasks
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OpenReview]
Poster
@ Hall A-E 146
Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints
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OpenReview]
Poster
@ Hall A-E 183
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
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OpenReview]
Poster
@ Hall A-E 36
Analysis of Two-Stage Rollout Designs with Clustering for Causal Inference under Network Interference
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OpenReview]
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@ Hall A-E 172
Personalized Convolutional Dictionary Learning of Physiological Time Series
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OpenReview]
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@ Hall A-E 159
Optimal estimation of linear non-Gaussian structure equation models
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OpenReview]
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@ Hall A-E 181
Factor Analysis with Correlated Topic Model for Multi-Modal Data
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OpenReview]
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@ Hall A-E 2
Loss Gradient Gaussian Width based Generalization and Optimization Guarantees
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OpenReview]
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@ Hall A-E 5
ScoreFusion: Fusing Score-based Generative Models via Kullback–Leibler Barycenters
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OpenReview]
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@ Hall A-E 7
Implicit Diffusion: Efficient optimization through stochastic sampling
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OpenReview]
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@ Hall A-E 11
Generalized Criterion for Identifiability of Additive Noise Models Using Majorization
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OpenReview]
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@ Hall A-E 14
Continuous Structure Constraint Integration for Robust Causal Discovery
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OpenReview]
Poster
@ Hall A-E 21
Theoretically Grounded Pruning of Large Ground Sets for Constrained, Discrete Optimization
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OpenReview]
Poster
@ Hall A-E 23
Truncated Inverse-Lévy Measure Representation of the Beta Process
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OpenReview]
Poster
@ Hall A-E 26
A Unifying Framework for Action-Conditional Self-Predictive Reinforcement Learning
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OpenReview]
Poster
@ Hall A-E 27
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
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OpenReview]
Poster
@ Hall A-E 37
Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations
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OpenReview]
Poster
@ Hall A-E 39
Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks
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OpenReview]
Poster
@ Hall A-E 43
Model Evaluation in the Dark: Robust Classifier Metrics with Missing Labels
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OpenReview]
Poster
@ Hall A-E 50
Statistical Test for Auto Feature Engineering by Selective Inference
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OpenReview]
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@ Hall A-E 51
Disentangling Interactions and Dependencies in Feature Attributions
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OpenReview]
Poster
@ Hall A-E 63
A Family of Distributions of Random Subsets for Controlling Positive and Negative Dependence
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OpenReview]
Poster
@ Hall A-E 65
Scalable Inference for Bayesian Multinomial Logistic-Normal Dynamic Linear Models
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OpenReview]
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@ Hall A-E 66
On the Geometry and Optimization of Polynomial Convolutional Networks
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OpenReview]
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@ Hall A-E 68
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
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OpenReview]
Poster
@ Hall A-E 70
RetroDiff: Retrosynthesis as Multi-stage Distribution Interpolation
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OpenReview]
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@ Hall A-E 71
InnerThoughts: Disentangling Representations and Predictions in Large Language Models
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OpenReview]
Poster
@ Hall A-E 78
Adaptive Extragradient Methods for Root-finding Problems under Relaxed Assumptions
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OpenReview]
Poster
@ Hall A-E 90
Generalization Bounds for Dependent Data using Online-to-Batch Conversion.
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OpenReview]
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@ Hall A-E 91
Meta-learning from Heterogeneous Tensors for Few-shot Tensor Completion
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OpenReview]
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@ Hall A-E 93
Learning-Augmented Algorithms for Online Concave Packing and Convex Covering Problems
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OpenReview]
Poster
@ Hall A-E 97
Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes
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OpenReview]
Poster
@ Hall A-E 100
Flexible Copula-Based Mixed Models in Deep Learning: A Scalable Approach to Arbitrary Marginals
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OpenReview]
Poster
@ Hall A-E 101
Rethinking Neural-based Matrix Inversion: Why can't, and Where can
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OpenReview]
Poster
@ Hall A-E 107
When Can We Solve the Weighted Low Rank Approximation Problem in Truly Subquadratic Time?
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OpenReview]
Poster
@ Hall A-E 108
Learning in Herding Mean Field Games: Single-Loop Algorithm with Finite-Time Convergence Analysis
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OpenReview]
Poster
@ Hall A-E 110
Safety in the Face of Adversity: Achieving Zero Constraint Violation in Online Learning with Slowly Changing Constraints
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OpenReview]
Poster
@ Hall A-E 113
Variational Inference on the Boolean Hypercube with the Quantum Entropy
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OpenReview]
Poster
@ Hall A-E 125
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments
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OpenReview]
Poster
@ Hall A-E 124
Domain Adaptation and Entanglement: an Optimal Transport Perspective
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OpenReview]
Poster
@ Hall A-E 127
Improving N-Glycosylation and Biopharmaceutical Production Predictions Using AutoML-Built Residual Hybrid Models
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OpenReview]
Poster
@ Hall A-E 132
SemlaFlow -- Efficient 3D Molecular Generation with Latent Attention and Equivariant Flow Matching
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OpenReview]
Poster
@ Hall A-E 134
Large Covariance Matrix Estimation With Nonnegative Correlations
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OpenReview]
Poster
@ Hall A-E 136
On Tractability of Learning Bayesian Networks with Ancestral Constraints
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OpenReview]
Poster
@ Hall A-E 139
Transfer Learning for High-dimensional Reduced Rank Time Series Models
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OpenReview]
Poster
@ Hall A-E 147
Bridging Multiple Worlds: Multi-marginal Optimal Transport for Causal Partial-identification Problem
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OpenReview]
Poster
@ Hall A-E 149
Understanding the Learning Dynamics of LoRA: A Gradient Flow Perspective on Low-Rank Adaptation in Matrix Factorization
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OpenReview]
Poster
@ Hall A-E 150
Enhanced Adaptive Gradient Algorithms for Nonconvex-PL Minimax Optimization
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OpenReview]
Poster
@ Hall A-E 155
Ant Colony Sampling with GFlowNets for Combinatorial Optimization
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OpenReview]
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@ Hall A-E 168
Sampling from Bayesian Neural Network Posteriors with Symmetric Minibatch Splitting Langevin Dynamics
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OpenReview]
Poster
@ Hall A-E 189
Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental Limits
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OpenReview]
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@ Hall A-E 92
Optimal Time Complexity Algorithms for Computing General Random Walk Graph Kernels on Sparse Graphs
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OpenReview]
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@ Hall A-E 161
A graphical global optimization framework for parameter estimation of statistical models with nonconvex regularization functions
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OpenReview]
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@ Hall A-E 102
Double Debiased Machine Learning for Mediation Analysis with Continuous Treatments
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OpenReview]
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@ Hall A-E 87
FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts
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OpenReview]
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@ Hall A-E 192
Bayesian Inference in Recurrent Explicit Duration Switching Linear Dynamical Systems
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OpenReview]
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@ Hall A-E 9
Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
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OpenReview]
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@ Hall A-E 67
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
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OpenReview]
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@ Hall A-E 193
Decomposing Global Feature Effects Based on Feature Interactions
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@ Hall A-E 195
Radial Neighbors for Provably Accurate Scalable Approximations of Gaussian Processes
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@ Hall A-E 69
Posterior Mean Matching: Generative Modeling through Online Bayesian Inference
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OpenReview]
Poster
@ Hall A-E 49
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
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OpenReview]
Poster
@ Hall A-E 19
Memory-Efficient Optimization with Factorized Hamiltonian Descent
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OpenReview]
Poster
@ Hall A-E 72
Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel–Young Loss Perspective and Gap-Dependent Regret Analysis
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OpenReview]
Poster
@ Hall A-E 118
Unveiling the Role of Randomization in Multiclass Adversarial Classification: Insights from Graph Theory
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OpenReview]
Poster
@ Hall A-E 120
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
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OpenReview]
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