Statistics, Machine Learning papers, 2024-08-01 to 2025-01-31

Papers

401. Latency-Aware Contextual Bandit: Application to Cryo-EM Data Collection2410.13109 · 17 Oct 2024
402. Discrete distributions are learnable from metastable samples2410.13800 · 17 Oct 2024
403. Gradual Domain Adaptation via Manifold-Constrained Distributionally Robust Optimization2410.14061 · 17 Oct 2024
404. Learning Counterfactual Distributions via Kernel Nearest Neighbors2410.13381 · 17 Oct 2024
405. A theoretical perspective on mode collapse in variational inference2410.13300 · 17 Oct 2024
406. Instance-dependent Convergence Theory for Diffusion Models2410.13738 · 17 Oct 2024
407. Probing the Latent Hierarchical Structure of Data via Diffusion Models2410.13770 · 17 Oct 2024
408. Self-supervised contrastive learning performs non-linear system identification2410.14673 · 18 Oct 2024
409. Asymptotically Optimal Change Detection for Unnormalized Pre- and Post-Change Distributions2410.14615 · 18 Oct 2024
410. In-context Learning for Mixture of Linear Regressions: Existence, Generalization and Training Dynamics2410.14183 · 18 Oct 2024
411. Optimizing importance weighting in the presence of sub-population shifts2410.14315 · 18 Oct 2024
412. Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process2410.14090 · 18 Oct 2024
413. Interventional Processes for Causal Uncertainty Quantification2410.14483 · 18 Oct 2024
414. Predictive variational inference: Learn the predictively optimal posterior distribution2410.14843 · 18 Oct 2024
415. Universal approximation results for neural networks with non-polynomial activation function over non-compact domains2410.14759 · 18 Oct 2024
416. Estimating the Causal Effects of T Cell Receptors2410.14127 · 18 Oct 2024
417. Privacy for Free in the Overparameterized Regime2410.14787 · 18 Oct 2024
418. Diffusion-based Semi-supervised Spectral Algorithm for Regression on Manifolds2410.14539 · 18 Oct 2024
419. High-Dimensional Tensor Discriminant Analysis with Incomplete Tensors2410.14783 · 18 Oct 2024
420. Comparative Evaluation of Clustered Federated Learning Methods2410.14212 · 18 Oct 2024
421. On the Sparsity of the Strong Lottery Ticket Hypothesis2410.14754 · 18 Oct 2024
422. HACSurv: A Hierarchical Copula-Based Approach for Survival Analysis with Dependent Competing Risks2410.15180 · 19 Oct 2024
423. Controllable RANSAC-based Anomaly Detection via Hypothesis Testing2410.15133 · 19 Oct 2024
424. Asymptotic Time-Uniform Inference for Parameters in Averaged Stochastic Approximation2410.15057 · 19 Oct 2024
425. Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation2410.15022 · 19 Oct 2024
426. Diffusion-PINN Sampler2410.15336 · 20 Oct 2024
427. Amortized Probabilistic Conditioning for Optimization, Simulation and Inference2410.15320 · 20 Oct 2024
428. A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators2410.15361 · 20 Oct 2024
429. BI-EqNO: Generalized Approximate Bayesian Inference with an Equivariant Neural Operator Framework2410.16420 · 21 Oct 2024
430. A Simple Model of Inference Scaling Laws2410.16377 · 21 Oct 2024
431. Building Conformal Prediction Intervals with Approximate Message Passing2410.16493 · 21 Oct 2024
432. Statistical Inference for Policy Evaluation with Temporal Difference Learning2410.16106 · 21 Oct 2024
433. Limit Theorems for Stochastic Gradient Descent with Infinite Variance2410.16340 · 21 Oct 2024
434. On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds2410.16073 · 21 Oct 2024
435. A Two-Stage Learning-to-Defer Approach for Multi-Task Learning2410.15729 · 21 Oct 2024
436. Learning signals defined on graphs with optimal transport and Gaussian process regression2410.15721 · 21 Oct 2024
437. Data Augmentation of Multivariate Sensor Time Series using Autoregressive Models and Application to Failure Prognostics2410.16419 · 21 Oct 2024
438. Robust Feature Learning for Multi-Index Models in High Dimensions2410.16449 · 21 Oct 2024
439. Conditional Dependence via U-Statistics Pruning2410.15888 · 21 Oct 2024
440. Theoretical Limitations of Ensembles in the Age of Overparameterization2410.16201 · 21 Oct 2024
441. Theoretical Convergence Guarantees for Variational Autoencoders2410.16750 · 22 Oct 2024
442. General Frameworks for Conditional Two-Sample Testing2410.16636 · 22 Oct 2024
443. Lower Bounds for Time-Varying Kernelized Bandits2410.16692 · 22 Oct 2024
444. Survival Models: Proper Scoring Rule and Stochastic Optimization with Competing Risks2410.16765 · 22 Oct 2024
445. Error estimates between SGD with momentum and underdamped Langevin diffusion2410.17297 · 22 Oct 2024
446. Scalable Implicit Graphon Learning2410.17464 · 22 Oct 2024
447. Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis2410.16870 · 22 Oct 2024
448. Understanding Transfer Learning via Mean-field Analysis2410.17128 · 22 Oct 2024
449. Stabilizing black-box model selection with the inflated argmax2410.18268 · 23 Oct 2024
450. Stochastic gradient descent in high dimensions for multi-spiked tensor PCA2410.18162 · 23 Oct 2024
451. Semi-Implicit Functional Gradient Flow for Efficient Sampling2410.17935 · 23 Oct 2024
452. A Generalized Framework for Multiscale State-Space Modeling with Nested Nonlinear Dynamics: An Application to Bayesian Learning under Switching Regimes2410.19074 · 24 Oct 2024
453. MissNODAG: Differentiable Cyclic Causal Graph Learning from Incomplete Data2410.18918 · 24 Oct 2024
454. Inherently Interpretable Tree Ensemble Learning2410.19098 · 24 Oct 2024
455. Less Discriminatory Alternative and Interpretable XGBoost Framework for Binary Classification2410.19067 · 24 Oct 2024
456. Conditional diffusions for amortized neural posterior estimation2410.19105 · 24 Oct 2024
457. Maximum a Posteriori Inference for Factor Graphs via Benders' Decomposition2410.19131 · 24 Oct 2024
458. A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities2410.18938 · 24 Oct 2024
459. A spectral method for multi-view subspace learning using the product of projections2410.19125 · 24 Oct 2024
460. High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws2410.18837 · 24 Oct 2024
461. Learned Reference-based Diffusion Sampling for multi-modal distributions2410.19449 · 25 Oct 2024
462. Statistical Inference in Classification of High-dimensional Gaussian Mixture2410.19950 · 25 Oct 2024
463. Noise-Aware Differentially Private Variational Inference2410.19371 · 25 Oct 2024
464. On the Benefits of Active Data Collection in Operator Learning2410.19725 · 25 Oct 2024
465. Considerations for Distribution Shift Robustness of Diagnostic Models in Healthcare2410.19575 · 25 Oct 2024
466. Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts2410.20250 · 26 Oct 2024
467. On the Gaussian process limit of Bayesian Additive Regression Trees2410.20289 · 26 Oct 2024
468. Near-Optimal Streaming Heavy-Tailed Statistical Estimation with Clipped SGD2410.20135 · 26 Oct 2024
469. Kernel Approximation of Fisher-Rao Gradient Flows2410.20622 · 27 Oct 2024
470. Low-rank Bayesian matrix completion via geodesic Hamiltonian Monte Carlo on Stiefel manifolds2410.20318 · 27 Oct 2024
471. A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Data2410.20659 · 28 Oct 2024
472. BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration2410.21033 · 28 Oct 2024
473. Deep Learning Methods for the Noniterative Conditional Expectation G-Formula for Causal Inference from Complex Observational Data2410.21531 · 28 Oct 2024
474. Scaling-based Data Augmentation for Generative Models and its Theoretical Extension2410.20780 · 28 Oct 2024
475. Injectivity capacity of ReLU gates2410.20646 · 28 Oct 2024
476. Robust Estimation for Kernel Exponential Families with Smoothed Total Variation Distances2410.20760 · 28 Oct 2024
477. Near Optimal Pure Exploration in Logistic Bandits2410.20640 · 28 Oct 2024
478. Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: Generalized Baselines2410.21081 · 28 Oct 2024
479. High-Dimensional Gaussian Process Regression with Soft Kernel Interpolation2410.21419 · 28 Oct 2024
480. Likelihood approximations via Gaussian approximate inference2410.20754 · 28 Oct 2024
481. A Stein Gradient Descent Approach for Doubly Intractable Distributions2410.21021 · 28 Oct 2024
482. Do Vendi Scores Converge with Finite Samples? Truncated Vendi Score for Finite-Sample Convergence Guarantees2410.21719 · 29 Oct 2024
483. Deep Q-Exponential Processes2410.22119 · 29 Oct 2024
484. Hierarchical mixtures of Unigram models for short text clustering: The role of Beta-Liouville priors2410.21862 · 29 Oct 2024
485. Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs2410.21983 · 29 Oct 2024
486. Batch, match, and patch: low-rank approximations for score-based variational inference2410.22292 · 29 Oct 2024
487. Node Regression on Latent Position Random Graphs via Local Averaging2410.21987 · 29 Oct 2024
488. Hamiltonian Monte Carlo on ReLU Neural Networks is Inefficient2410.22065 · 29 Oct 2024
489. Privacy-Preserving Dynamic Assortment Selection2410.22488 · 29 Oct 2024
490. Exponentially Consistent Statistical Classification of Continuous Sequences with Distribution Uncertainty2410.21799 · 29 Oct 2024
491. Minimax optimality of deep neural networks on dependent data via PAC-Bayes bounds2410.21702 · 29 Oct 2024
492. Refined Risk Bounds for Unbounded Losses via Transductive Priors2410.21621 · 29 Oct 2024
493. Feature Responsiveness Scores: Model-Agnostic Explanations for Recourse2410.22598 · 29 Oct 2024
494. Identifiability Analysis of Linear ODE Systems with Hidden Confounders2410.21917 · 29 Oct 2024
495. The Effects of Multi-Task Learning on ReLU Neural Network Functions2410.21696 · 29 Oct 2024
496. Hyperparameter Optimization in Machine Learning2410.22854 · 30 Oct 2024
497. Identifying Drift, Diffusion, and Causal Structure from Temporal Snapshots2410.22729 · 30 Oct 2024
498. Generalization Bounds via Conditional $f$-Information2410.22887 · 30 Oct 2024
499. Improved convergence rate of kNN graph Laplacians: differentiable self-tuned affinity2410.23212 · 30 Oct 2024
500. Graph Integration for Diffusion-Based Manifold Alignment2410.22978 · 30 Oct 2024