Papers
12094 papers
ICML2025
A Hitchhiker's Guide to Scaling Law Estimation
Summary pending...
Scaling lawsrecyclingefficiency
ICML2025
Point-Level Topological Representation Learning on Point Clouds
Summary pending...
Topological Data AnalysisDifferential GeometryRepresentation Learning
ICML2025
Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
Summary pending...
Federated Learning，Generalization，Stochastic Weight Averaging
ICML2025
AutoElicit: Using Large Language Models for Expert Prior Elicitation in Predictive Modelling
Summary pending...
LLMs for healthcarePrior elicitationLLM-elicited priors
ICML2025
Quantifying Treatment Effects: Estimating Risk Ratios via Observational Studies
Summary pending...
Causal inferenceObservational dataRisk Ratio
ICML2025
Fully Dynamic Euclidean Bi-Chromatic Matching in Sublinear Update Time
Summary pending...
Euclidean bi-chromatic matchingdynamic algorithm1-Wasserstein distance
ICML2025
Revisiting Non-Acyclic GFlowNets in Discrete Environments
Summary pending...
generative flow networksgflownetsnon-acyclic gflownets
ICML2025
Strong and Weak Identifiability of Optimization-based Causal Discovery in Non-linear Additive Noise Models
Summary pending...
Optimization-based Causal DiscoveryIdentifiabilityAdditive Noise Model
ICML2025
Exact Upper and Lower Bounds for the Output Distribution of Neural Networks with Random Inputs
Summary pending...
Neural NetworksUncertainty PropagationPredictive Output Distribution
ICML2025
Learning Representations of Instruments for Partial Identification of Treatment Effects
Summary pending...
causal inferencepartial identificationinstrumental variables
ICML2025
Aligning LLMs by Predicting Preferences from User Writing Samples
Summary pending...
NLPLLMpreference learning
ICML2025
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
Summary pending...
data selectiondata curationinstruction tuning
ICML2025
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows
Summary pending...
data manifold geometryscore-based pullback Riemannian metricanisotropic normalizing flows
ICML2025
Calibrated Physics-Informed Uncertainty Quantification
Summary pending...
Surrogate ModelsUncertainty QuantificationNeural-PDE
ICML2025
Simple Randomized Rounding for Max-Min Eigenvalue Augmentation
Summary pending...
Approximation algorithmsBayesian E-optimal designmatrix concentration inequalities
ICML2025
Angle Domain Guidance: Latent Diffusion Requires Rotation Rather Than Extrapolation
Summary pending...
Diffusion ModelClassifier Free GuidanceText-to-Image Generation
ICML2025
Synonymous Variational Inference for Perceptual Image Compression
Summary pending...
SynonymousVariational InferencePerceptual
ICML2025
Persistent Topological Features in Large Language Models
Summary pending...
Topological Data AnalysisPersistent HomologyLarge Language Models
ICML2025
Online Curvature-Aware Replay: Leveraging $\mathbf{2^{nd}}$ Order Information for Online Continual Learning
Summary pending...
Online Continual LearningSecond-order optimizationDeep Learning