Most Cited ICML "exact gp inference" Papers

Geometry Informed Tokenization of Molecules for Language Model Generation

Xiner Li, Limei Wang, Youzhi Luo et al.

Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models

Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata et al.

Graph4MM: Weaving Multimodal Learning with Structural Information

Xuying Ning, Dongqi Fu, Tianxin Wei et al.

UltraTWD: Optimizing Ultrametric Trees for Tree-Wasserstein Distance

Fangchen Yu, Yanzhen Chen, Jiaxing Wei et al.

DynaMind: Reasoning over Abstract Video Dynamics for Embodied Decision-Making

Ziru Wang, Mengmeng Wang, Jade Dai et al.

Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech

Taesoo Kim, Jinju Kim, Dongchan Kim et al.

LARM: Large Auto-Regressive Model for Long-Horizon Embodied Intelligence

Zhuoling Li, Xiaogang Xu, Zhenhua Xu et al.

Generative Social Choice: The Next Generation

Niclas Boehmer, Sara Fish, Ariel Procaccia

Tilted Sharpness-Aware Minimization

Tian Li, Tianyi Zhou, Jeff Bilmes

Hybrid Batch Normalisation: Resolving the Dilemma of Batch Normalisation in Federated Learning

Hongyao Chen, Tianyang Xu, Xiaojun Wu et al.

LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection

Xinyue Zeng, Haohui Wang, Junhong Lin et al.

Better to Teach than to Give: Domain Generalized Semantic Segmentation via Agent Queries with Diffusion Model Guidance

Fan Li, Xuan Wang, Min Qi et al.

Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model

Kaito Ariu, Alexandre Proutiere, Se-Young Yun

On Efficient Estimation of Distributional Treatment Effects under Covariate-Adaptive Randomization

Undral Byambadalai, Tomu Hirata, Tatsushi Oka et al.

Density Ratio Estimation with Conditional Probability Paths

Hanlin Yu, Arto Klami, Aapo Hyvarinen et al.

Categorical Distributional Reinforcement Learning with Kullback-Leibler Divergence: Convergence and Asymptotics

Tyler Kastner, Mark Rowland, Yunhao Tang et al.

How to Evaluate and Mitigate IP Infringement in Visual Generative AI?

Zhenting Wang, Chen Chen, Vikash Sehwag et al.

Alpha-SQL: Zero-Shot Text-to-SQL using Monte Carlo Tree Search

Boyan Li, Jiayi Zhang, Ju Fan et al.

A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle

Yu Chen, Nathalia Céspedes, Payam Barnaghi

Survival Analysis via Density Estimation

Hiroki Yanagisawa, Shunta Akiyama

What Limits Bidirectional Model's Generative Capabilities? A Uni-Bi-Directional Mixture-of-Expert Method For Bidirectional Fine-tuning

Zuchao Li, Yonghua Hei, Qiwei Li et al.

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow

Zhonglin Cao, Mario Geiger, Allan Costa et al.

Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis

Christophe Vauthier, Anna Korba, Quentin Mérigot

Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization

Michael S Yao, James Gee, Osbert Bastani

Hardware and Software Platform Inference

Cheng Zhang, Hanna Foerster, Robert Mullins et al.

SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity

Samir Khaki, Xiuyu Li, Junxian Guo et al.

Exponential Family Variational Flow Matching for Tabular Data Generation

Andres Guzman Cordero, Floor Eijkelboom, Jan-Willem van de Meent

LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning

Xiuyi Jia, Jinchi Li, Yunan Lu et al.

Explicit Discovery of Nonlinear Symmetries from Dynamic Data

Lexiang Hu, Yikang Li, Zhouchen Lin

Towards Global-level Mechanistic Interpretability: A Perspective of Modular Circuits of Large Language Models

Yinhan He, Wendy Zheng, Yushun Dong et al.

Provable Policy Gradient for Robust Average-Reward MDPs Beyond Rectangularity

Qiuhao Wang, Yuqi Zha, Chin Pang Ho et al.

GRAIL: Graph Edit Distance and Node Alignment using LLM-Generated Code

Samidha Verma, Arushi Goyal, Ananya Mathur et al.

Otter: Generating Tests from Issues to Validate SWE Patches

Toufique Ahmed, Jatin Ganhotra, Rangeet Pan et al.

RULEBREAKERS: Challenging LLMs at the Crossroads between Formal Logic and Human-like Reasoning

Jason Chan, Robert Gaizauskas, Zhixue Zhao

Limitations of measure-first protocols in quantum machine learning

Casper Gyurik, Riccardo Molteni, Vedran Dunjko

Goal-Space Planning with Subgoal Models

Chunlok Lo, Kevin Roice, Parham Mohammad Panahi et al.

Training High Performance Spiking Neural Network by Temporal Model Calibration

Jiaqi Yan, Changping Wang, De Ma et al.

Rethinking External Slow-Thinking: From Snowball Errors to Probability of Correct Reasoning

Zeyu Gan, Yun Liao, Yong Liu

Adaptive Elicitation of Latent Information Using Natural Language

Jimmy Wang, Tom Zollo, Richard Zemel et al.

A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity

Yufei Huang, Changhu Wang, Junjie Tang et al.

Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations

Shahaf Bassan, Yizhak Elboher, Tobias Ladner et al.

Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms

Andrea Bertazzi, Tim Johnston, Gareth Roberts et al.

SAeUron: Interpretable Concept Unlearning in Diffusion Models with Sparse Autoencoders

Bartosz Cywiński, Kamil Deja

Double Machine Learning for Causal Inference under Shared-State Interference

Chris Hays, Manish Raghavan

Cooperation of Experts: Fusing Heterogeneous Information with Large Margin

Shuo Wang, Shunyang Huang, Jinghui Yuan et al.

SGD Jittering: A Training Strategy for Robust and Accurate Model-Based Architectures

Peimeng Guan, Mark Davenport

Optimizing Robustness and Accuracy in Mixture of Experts: A Dual-Model Approach

Xu Zhang, Kaidi Xu, Ziqing Hu et al.

Improved Learning via k-DTW: A Novel Dissimilarity Measure for Curves

Amer Krivosija, Alexander Munteanu, André Nusser et al.

Disentangling and Integrating Relational and Sensory Information in Transformer Architectures

Awni Altabaa, John Lafferty

Policy Gradient with Tree Expansion

Gal Dalal, Assaf Hallak, Gugan Chandrashekhar Mallika Thoppe et al.

LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces

Rashid Mushkani, Perampalli Shravan Nayak, Hugo Berard et al.

LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation

Li Ding, Hao Zhang, Wenrui Dai et al.

On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics

Binghui Li, Yuanzhi Li

Solving Zero-Sum Convex Markov Games

Fivos Kalogiannis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Ian Gemp et al.

Where is the Truth? The Risk of Getting Confounded in a Continual World

Florian Peter Busch, Roshni Ramanna Kamath, Rupert Mitchell et al.

Eliciting Language Model Behaviors with Investigator Agents

Xiang Li, Neil Chowdhury, Daniel Johnson et al.

Learning Multi-Level Features with Matryoshka Sparse Autoencoders

Bart Bussmann, Noa Nabeshima, Adam Karvonen et al.

Improved Regret Analysis in Gaussian Process Bandits: Optimality for Noiseless Reward, RKHS norm, and Non-Stationary Variance

Shogo Iwazaki, Shion Takeno

The Berkeley Function Calling Leaderboard (BFCL): From Tool Use to Agentic Evaluation of Large Language Models

Shishir G. Patil, Huanzhi Mao, Fanjia Yan et al.

Functional Alignment Can Mislead: Examining Model Stitching

Damian Smith, Harvey Mannering, Antonia Marcu

Dynamical phases of short-term memory mechanisms in RNNs

Bariscan Kurtkaya, Fatih Dinc, Mert Yuksekgonul et al.

AutoAL: Automated Active Learning with Differentiable Query Strategy Search

Yifeng Wang, Xueying Zhan, Siyu Huang

Inverse Optimization via Learning Feasible Regions

Ke Ren, Peyman Mohajerin Esfahani, Angelos Georghiou

Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training

Bhavna Gopal, Huanrui Yang, Jingyang Zhang et al.

The Number of Trials Matters in Infinite-Horizon General-Utility Markov Decision Processes

Pedro Santos, Alberto Sardinha, Francisco S. Melo

Hierarchical Equivariant Policy via Frame Transfer

Haibo Zhao, Dian Wang, Yizhe Zhu et al.

AEQA-NAT : Adaptive End-to-end Quantization Alignment Training Framework for Non-autoregressive Machine Translation

Xiangyu Qu, Guojing Liu, Liang Li

HYGMA: Hypergraph Coordination Networks with Dynamic Grouping for Multi-Agent Reinforcement Learning

Chiqiang Liu, Dazi Li

DTZO: Distributed Trilevel Zeroth Order Learning with Provable Non-Asymptotic Convergence

Yang Jiao, Kai Yang, Chengtao Jian

Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery

Pratinav Seth, Michelle Lin, BREFO YAW et al.

Improving the Statistical Efficiency of Cross-Conformal Prediction

Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency

Zexu Sun, Qiyu Han, Hao Yang et al.

A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition

Nian Liu, Xiaoxin He, Thomas Laurent et al.

Tensorized Multi-View Multi-Label Classification via Laplace Tensor Rank

Qiyu Zhong, Yi Shan, Haobo Wang et al.

Diffusion Models are Secretly Exchangeable: Parallelizing DDPMs via Auto Speculation

Hengyuan Hu, Aniket Das, Dorsa Sadigh et al.

Conformal Prediction as Bayesian Quadrature

Jake Snell, Thomas Griffiths

MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention

Yucheng Li, Huiqiang Jiang, Chengruidong Zhang et al.

EquivaMap: Leveraging LLMs for Automatic Equivalence Checking of Optimization Formulations

Haotian Zhai, Connor Lawless, Ellen Vitercik et al.

EasyInv: Toward Fast and Better DDIM Inversion

Ziyue Zhang, Mingbao Lin, Shuicheng YAN et al.

NextCoder: Robust Adaptation of Code LMs to Diverse Code Edits

Tushar Aggarwal, Swayam Singh, Abhijeet Awasthi et al.

Private Federated Learning using Preference-Optimized Synthetic Data

Charlie Hou, Mei-Yu Wang, Yige Zhu et al.

Breaking Barriers: Combinatorial Algorithms for Non-Monotone Submodular Maximization with Sublinear Adaptivity and $1/e$ Approximation

Yixin Chen, Wenjing Chen, Alan Kuhnle

Rethink GraphODE Generalization within Coupled Dynamical System

Guancheng Wan, Zijie Huang, Wanjia Zhao et al.

Interaction-Aware Gaussian Weighting for Clustered Federated Learning

Alessandro Licciardi, Davide Leo, Eros Fanì et al.

AutoCATE: End-to-End, Automated Treatment Effect Estimation

Toon Vanderschueren, Tim Verdonck, Mihaela van der Schaar et al.

Robust Noise Attenuation via Adaptive Pooling of Transformer Outputs

Greyson Brothers

Learning Adversarial MDPs with Stochastic Hard Constraints

Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi et al.

Lean and Mean Adaptive Optimization via Subset-Norm and Subspace-Momentum with Convergence Guarantees

Thien Nguyen, Huy Nguyen

Covered Forest: Fine-grained generalization analysis of graph neural networks

Antonis Vasileiou, Ben Finkelshtein, Floris Geerts et al.

Protein Structure Tokenization: Benchmarking and New Recipe

Xinyu Yuan, Zichen Wang, Marcus Collins et al.

LoRA Training Provably Converges to a Low-Rank Global Minimum Or It Fails Loudly (But it Probably Won't Fail)

Junsu Kim, Jaeyeon Kim, Ernest Ryu

Fluctuations of the largest eigenvalues of transformed spiked Wigner matrices

Aro Lee, Ji Oon Lee

NeuralCohort: Cohort-aware Neural Representation Learning for Healthcare Analytics

Changshuo Liu, Lingze Zeng, Kaiping Zheng et al.

Lightweight Dataset Pruning without Full Training via Example Difficulty and Prediction Uncertainty

Yeseul Cho, Baekrok Shin, Changmin Kang et al.

Adaptive Exploration for Multi-Reward Multi-Policy Evaluation

Alessio Russo, Aldo Pacchiano

Power Mean Estimation in Stochastic Continuous Monte-Carlo Tree Search

Tuan Dam

How to Move Your Dragon: Text-to-Motion Synthesis for Large-Vocabulary Objects

Wonkwang Lee, Jongwon Jeong, Taehong Moon et al.

Near Optimal Non-asymptotic Sample Complexity of 1-Identification

Zitian Li, Wang Chi Cheung

Online Learning in Risk Sensitive constrained MDP

Arnob Ghosh, Mehrdad Moharrami

TINED: GNNs-to-MLPs by Teacher Injection and Dirichlet Energy Distillation

Ziang Zhou, Zhihao DING, Jieming Shi et al.

Larger or Smaller Reward Margins to Select Preferences for LLM Alignment?

Kexin Huang, Junkang Wu, Ziqian Chen et al.

Causal Logistic Bandits with Counterfactual Fairness Constraints

Jiajun Chen, Jin Tian, Chris Quinn

Rethinking Point Cloud Data Augmentation: Topologically Consistent Deformation

Jian Bi, Qianliang Wu, Xiang Li et al.

EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation

Jiawei Cao, Chaochen Gu, Hao Cheng et al.

AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models

Zheng Lian, Haoyu Chen, Lan Chen et al.

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization

Jintao Zhang, Haofeng Huang, Pengle Zhang et al.

Identifying Neural Dynamics Using Interventional State Space Models

Amin Nejatbakhsh, Yixin Wang

Efficiently Serving Large Multimodal Models Using EPD Disaggregation

Gursimran Singh, Xinglu Wang, Yifan Hu et al.

Data-driven Design of Randomized Control Trials with Guaranteed Treatment Effects

Santiago Cortes-Gomez, Naveen Raman, Aarti Singh et al.

Hyper: Hyperparameter Robust Efficient Exploration in Reinforcement Learning

Yiran Wang, Chenshu Liu, Yunfan Li et al.

On the Private Estimation of Smooth Transport Maps

Clément Lalanne, Franck Iutzeler, Loubes Jean-Michel et al.

EditLord: Learning Code Transformation Rules for Code Editing

Weichen Li, Albert Jan, Baishakhi Ray et al.

LoRA-Gen: Specializing Large Language Model via Online LoRA Generation

Yicheng Xiao, Lin Song, Rui Yang et al.

Learning to Keep a Promise: Scaling Language Model Decoding Parallelism with Learned Asynchronous Decoding

Tian Jin, Ellie Cheng, Zachary Ankner et al.

Empowering World Models with Reflection for Embodied Video Prediction

Xiaowei Chi, Chun-Kai Fan, Hengyuan Zhang et al.

Equivariant Neural Tangent Kernels

Philipp Misof, Pan Kessel, Jan Gerken

An Improved Clique-Picking Algorithm for Counting Markov Equivalent DAGs via Super Cliques Transfer

Lifu Liu, Shiyuan He, Jianhua Guo

An Online Learning Approach to Prompt-based Selection of Generative Models and LLMs

Xiaoyan Hu, Ho-fung Leung, Farzan Farnia

Exploring Criteria of Loss Reweighting to Enhance LLM Unlearning

Puning Yang, Qizhou Wang, Zhuo Huang et al.

Continual Reinforcement Learning by Planning with Online World Models

Zichen Liu, Guoji Fu, Chao Du et al.

Minerva: A Programmable Memory Test Benchmark for Language Models

Menglin Xia, Victor Ruehle, Saravanakumar Rajmohan et al.

Boosting Masked ECG-Text Auto-Encoders as Discriminative Learners

Hung Manh Pham, Aaqib Saeed, Dong Ma

R2-T2: Re-Routing in Test-Time for Multimodal Mixture-of-Experts

Zhongyang Li, Ziyue Li, Tianyi Zhou

Zero-Shot Adaptation of Parameter-Efficient Fine-Tuning in Diffusion Models

Farzad Farhadzadeh, Debasmit Das, Shubhankar Borse et al.

Learning Distribution-wise Control in Representation Space for Language Models

Deng, Ruidi Chang, Hanjie Chen

Chameleon: A Flexible Data-mixing Framework for Language Model Pretraining and Finetuning

Wanyun Xie, Francesco Tonin, Volkan Cevher

Optimal and Practical Batched Linear Bandit Algorithm

Sanghoon Yu, Min-hwan Oh

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks

Zhaoxuan Kan, Husheng Han, shangyi shi et al.

An Instrumental Value for Data Production and its Application to Data Pricing

Rui Ai, Boxiang Lyu, Zhaoran Wang et al.

Fishers for Free? Approximating the Fisher Information Matrix by Recycling the Squared Gradient Accumulator

YuXin Li, Felix Dangel, Derek Tam et al.

Scalable Model Merging with Progressive Layer-wise Distillation

Jing Xu, Jiazheng Li, Jingzhao Zhang

Grokking in the Wild: Data Augmentation for Real-World Multi-Hop Reasoning with Transformers

Roman Abramov, Felix Steinbauer, Gjergji Kasneci

Code-Generated Graph Representations Using Multiple LLM Agents for Material Properties Prediction

Jiao Huang, Qianli Xing, Jinglong Ji et al.

CAN: Leveraging Clients As Navigators for Generative Replay in Federated Continual Learning

Xuankun Rong, Jianshu Zhang, Kun He et al.

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks

Saurabh Jha, Rohan Arora, Yuji Watanabe et al.

FeatSharp: Your Vision Model Features, Sharper

Mike Ranzinger, Greg Heinrich, Pavlo Molchanov et al.

A Tale of Two Structures: Do LLMs Capture the Fractal Complexity of Language?

Ibrahim Alabdulmohsin, Andreas Steiner

WILTing Trees: Interpreting the Distance Between MPNN Embeddings

Masahiro Negishi, Thomas Gärtner, Pascal Welke

Private Lossless Multiple Release

Joel Daniel Andersson, Lukas Retschmeier, Boel Nelson et al.

Making Hard Problems Easier with Custom Data Distributions and Loss Regularization: A Case Study in Modular Arithmetic

Eshika Saxena, Alberto Alfarano, Emily Wenger et al.

An Adaptive Orthogonal Convolution Scheme for Efficient and Flexible CNN Architectures

Thibaut Boissin, Franck Mamalet, Thomas Fel et al.

Directed Graph Grammars for Sequence-based Learning

Michael Sun, Orion Foo, Gang Liu et al.

Grammar-Forced Translation of Natural Language to Temporal Logic using LLMs

William English, Dominic Simon, Sumit Jha et al.

WOMD-Reasoning: A Large-Scale Dataset for Interaction Reasoning in Driving

Yiheng Li, Cunxin Fan, Chongjian GE et al.

Branches: Efficiently Seeking Optimal Sparse Decision Trees via AO*

Ayman Chaouki, Jesse Read, Albert Bifet

SDMG: Smoothing Your Diffusion Models for Powerful Graph Representation Learning

Junyou Zhu, Langzhou He, Chao Gao et al.

Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective

Junze Deng, Qinhang Wu, Peizhong Ju et al.

Best of Both Worlds: Regret Minimization versus Minimax Play

Adrian Müller, Jon Schneider, EFSTRATIOS PANTELEIMON SKOULAKIS et al.

Low-Rank Adapting Models for Sparse Autoencoders

Matthew Chen, Josh Engels, Max Tegmark

Mixed-curvature decision trees and random forests

Philippe Chlenski, Quentin Chu, Raiyan Khan et al.

Provable Benefit of Random Permutations over Uniform Sampling in Stochastic Coordinate Descent

Donghwa Kim, Jaewook Lee, Chulhee Yun

Parameters vs FLOPs: Scaling Laws for Optimal Sparsity for Mixture-of-Experts Language Models

Samira Abnar, Harshay Shah, Dan Busbridge et al.

StealthInk: A Multi-bit and Stealthy Watermark for Large Language Models

Ya Jiang, Chuxiong Wu, Massieh Kordi Boroujeny et al.

EvoPress: Accurate Dynamic Model Compression via Evolutionary Search

Oliver Sieberling, Denis Kuznedelev, Eldar Kurtic et al.

Fast and Provable Algorithms for Sparse PCA with Improved Sample Complexity

Jian-Feng Cai, Zhuozhi XIAN, Jiaxi Ying

LDMol: A Text-to-Molecule Diffusion Model with Structurally Informative Latent Space Surpasses AR Models

Jinho Chang, Jong Chul YE

Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment

Yuhui Ding, Thomas Hofmann

A Reductions Approach to Risk-Sensitive Reinforcement Learning with Optimized Certainty Equivalents

Kaiwen Wang, Dawen Liang, Nathan Kallus et al.

Preconditioned Riemannian Gradient Descent Algorithm for Low-Multilinear-Rank Tensor Completion

Yuanwei Zhang, Fengmiao Bian, Xiaoqun Zhang et al.

OrcaLoca: An LLM Agent Framework for Software Issue Localization

Zhongming Yu, Hejia Zhang, Yujie Zhao et al.

Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens

Jihwan Jeong, Xiaoyu Wang, Jingmin Wang et al.

Efficient Heterogeneity-Aware Federated Active Data Selection

Yingpeng Tang, Chao Ren, Xiaoli Tang et al.

Gradient Descent Converges Arbitrarily Fast for Logistic Regression via Large and Adaptive Stepsizes

Ruiqi Zhang, Jingfeng Wu, Peter Bartlett

Nonlinearly Preconditioned Gradient Methods under Generalized Smoothness

Konstantinos Oikonomidis, Jan Quan, Emanuel Laude et al.

The Elicitation Game: Evaluating Capability Elicitation Techniques

Felix Hofstätter, Teun van der Weij, Jayden Teoh et al.

Learning Efficient Robotic Garment Manipulation with Standardization

zhou changshi, Feng Luan, hujiarui et al.

Consensus Is All You Get: The Role of Attention in Transformers

Alvaro Rodriguez Abella, João Pedro Silvestre, Paulo Tabuada

Causality Inspired Federated Learning for OOD Generalization

Jiayuan Zhang, Xuefeng Liu, Jianwei Niu et al.

Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms

Rickard K.A. Karlsson, Jesse H. Krijthe

Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture without Training

Mozhi Zhang, Howe Tissue, Lu Wang et al.

Revisiting Convergence: Shuffling Complexity Beyond Lipschitz Smoothness

Qi He, Peiran Yu, Ziyi Chen et al.

Optimal Decision Tree Pruning Revisited: Algorithms and Complexity

Juha Harviainen, Frank Sommer, Manuel Sorge et al.

Understanding Sharpness Dynamics in NN Training with a Minimalist Example: The Effects of Dataset Difficulty, Depth, Stochasticity, and More

Geonhui Yoo, Minhak Song, Chulhee Yun

Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing

Zhuoran Zhang, Yongxiang Li, Zijian Kan et al.

Inductive Gradient Adjustment for Spectral Bias in Implicit Neural Representations

Kexuan Shi, Hai Chen, Leheng Zhang et al.

Generalized Category Discovery via Reciprocal Learning and Class-Wise Distribution Regularization

Duo Liu, Zhiquan Tan, Linglan Zhao et al.

Clipped SGD Algorithms for Performative Prediction: Tight Bounds for Stochastic Bias and Remedies

Qiang Li, Michal Yemini, Hoi To Wai

Instruction-Following Pruning for Large Language Models

Bairu Hou, Qibin Chen, Jianyu Wang et al.

One Stone, Two Birds: Enhancing Adversarial Defense Through the Lens of Distributional Discrepancy

Jiacheng Zhang, Benjamin Rubinstein, Jingfeng Zhang et al.

Domain-Adapted Diffusion Model for PROTAC Linker Design Through the Lens of Density Ratio in Chemical Space

Zixing Song, Ziqiao Meng, Jose Miguel Hernandez-Lobato

Three-Dimensional Trajectory Prediction with 3DMoTraj Dataset

Hao Zhou, Xu Yang, Mingyu Fan et al.

Continuously Updating Digital Twins using Large Language Models

Harry Amad, Nicolás Astorga, Mihaela van der Schaar

Random Policy Evaluation Uncovers Policies of Generative Flow Networks

Haoran He, Emmanuel Bengio, Qingpeng Cai et al.

HGOT: Self-supervised Heterogeneous Graph Neural Network with Optimal Transport

Yanbei Liu, Chongxu Wang, Zhitao Xiao et al.

PAC-Bayes Analysis for Recalibration in Classification

Masahiro Fujisawa, Futoshi Futami

Global Context-aware Representation Learning for Spatially Resolved Transcriptomics

Yunhak Oh, Junseok Lee, Yeongmin Kim et al.

Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition

Zichen Wang, Chuanhao Li, Huazheng Wang

Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders

Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu et al.

Benefits of Early Stopping in Gradient Descent for Overparameterized Logistic Regression

Jingfeng Wu, Peter Bartlett, Matus Telgarsky et al.

Black-Box Adversarial Attacks on LLM-Based Code Completion

Slobodan Jenko, Niels Mündler, Jingxuan He et al.

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning

Zican Hu, Wei Liu, Xiaoye Qu et al.

Training Diffusion-based Generative Models with Limited Data

Zhaoyu Zhang, Yang Hua, Guanxiong Sun et al.

Rethinking Time Encoding via Learnable Transformation Functions

Xi Chen, Yateng Tang, Jiarong Xu et al.

Counterfactual Effect Decomposition in Multi-Agent Sequential Decision Making

Stelios Triantafyllou, Aleksa Sukovic, Yasaman Zolfimoselo et al.

Deep Reinforcement Learning from Hierarchical Preference Design

Alexander Bukharin, Yixiao Li, Pengcheng He et al.

Optimizing Noise Distributions for Differential Privacy

Atefeh Gilani, Felipe Gomez, Shahab Asoodeh et al.

The Batch Complexity of Bandit Pure Exploration

Adrienne Tuynman, Rémy Degenne

iN2V: Bringing Transductive Node Embeddings to Inductive Graphs

Nicolas Lell, Ansgar Scherp

SecEmb: Sparsity-Aware Secure Federated Learning of On-Device Recommender System with Large Embedding

Peihua Mai, Youlong Ding, Ziyan Lyu et al.

GrokFormer: Graph Fourier Kolmogorov-Arnold Transformers

GUOGUO AI, Guansong Pang, Hezhe Qiao et al.