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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #118
Eventual Discounting Temporal Logic Counterfactual Experience Replay
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #119
PAC Generalization via Invariant Representations
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #123
Why does Throwing Away Data Improve Worst-Group Error?
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #124
TabDDPM: Modelling Tabular Data with Diffusion Models
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #128
Differentiable and Transportable Structure Learning
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #200
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #201
Adaptive Coordination in Social Embodied Rearrangement
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #222
Second-order regression models exhibit progressive sharpening to the edge of stability
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #231
NerfDiff: Single-image View Synthesis with NeRF-guided Distillation from 3D-aware Diffusion
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #302
Why do Nearest Neighbor Language Models Work?
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #308
TAN Without a Burn: Scaling Laws of DP-SGD
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #310
On Kinetic Optimal Probability Paths for Generative Models
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #311
Bayesian Design Principles for Frequentist Sequential Learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #312
Speeding Up Bellman Ford via Minimum Violation Permutations
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #316
Contrastive Learning Meets Homophily: Two Birds with One Stone
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #318
ODS: Test-Time Adaptation in the Presence of Open-World Data Shift
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #320
Self-Interpretable Time Series Prediction with Counterfactual Explanations
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #322
Uncertain Evidence in Probabilistic Models and Stochastic Simulators
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #324
Pricing Experimental Design: Causal Effect, Expected Revenue and Tail Risk
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #330
Active Ranking of Experts Based on their Performances in Many Tasks
Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #333
The Monge Gap: A Regularizer to Learn All Transport Maps
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #336
Short-lived High-volume Bandits
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #400
Minimax estimation of discontinuous optimal transport maps: The semi-discrete case
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #404
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time Series
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #408
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #409
Dataset Distillation with Convexified Implicit Gradients
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #415
Uncertainty Estimation for Molecules: Desiderata and Methods
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #421
Learning Belief Representations for Partially Observable Deep RL
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #424
Improved Active Multi-Task Representation Learning via Lasso
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #431
VA-learning as a more efficient alternative to Q-learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #432
MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #437
Inflow, Outflow, and Reciprocity in Machine Learning
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #442
A Kernel-Based View of Language Model Fine-Tuning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #502
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #513
Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #518
Generating Private Synthetic Data with Genetic Algorithms
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #519
AdaBoost is not an Optimal Weak to Strong Learner
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #813
Learning Neural Constitutive Laws from Motion Observations for Generalizable PDE Dynamics
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #525
Continuation Path Learning for Homotopy Optimization
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #527
Margin-based Neural Network Watermarking
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #528
Sequential Underspecified Instrument Selection for Cause-Effect Estimation
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #529
JAWS-X: Addressing Efficiency Bottlenecks of Conformal Prediction Under Standard and Feedback Covariate Shift
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #530
Constrained Phi-Equilibria
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #532
Statistical Indistinguishability of Learning Algorithms
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #536
Memory-Based Dual Gaussian Processes for Sequential Learning
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #544
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #604
Adversarially Robust PAC Learnability of Real-Valued Functions
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #605
Nearly Minimax Optimal Regret for Learning Linear Mixture Stochastic Shortest Path
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #609
Data Structures for Density Estimation
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #614
Homomorphism AutoEncoder --- Learning Group Structured Representations from Observed Transitions
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #619
Instant Soup: Cheap Pruning Ensembles in A Single Pass Can Draw Lottery Tickets from Large Models
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #620
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #626
High Probability Convergence of Stochastic Gradient Methods
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #632
Trapdoor Normalization with Irreversible Ownership Verification
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #635
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #640
Convergence of Proximal Point and Extragradient-Based Methods Beyond Monotonicity: the Case of Negative Comonotonicity
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #701
On the Occupancy Measure of Non-Markovian Policies in Continuous MDPs
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #705
PCA-based Multi-Task Learning: a Random Matrix Approach
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #710
Rethinking Backdoor Attacks
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #717
Learning Representations without Compositional Assumptions
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #720
Intrinsic Sliced Wasserstein Distances for Comparing Collections of Probability Distributions on Manifolds and Graphs
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #722
TGRL: An Algorithm for Teacher Guided Reinforcement Learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #725
Faster Gradient-Free Algorithms for Nonsmooth Nonconvex Stochastic Optimization
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #726
Efficient List-Decodable Regression using Batches
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #730
Interventional Causal Representation Learning
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Poster
Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #731
Denoising MCMC for Accelerating Diffusion-Based Generative Models
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #736
Crafting Training Degradation Distribution for the Accuracy-Generalization Trade-off in Real-World Super-Resolution
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #739
State and parameter learning with PARIS particle Gibbs
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #803
The Saddle-Point Method in Differential Privacy
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #809
The Implicit Regularization of Dynamical Stability in Stochastic Gradient Descent
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Tue Jul 25 02:00 PM -- 04:30 PM (PDT) @ Exhibit Hall 1 #811
Raising the Cost of Malicious AI-Powered Image Editing
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