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ICML 2024

A*

International Conference on Machine Learning

Official site ↗
2,611
accepted papers
2,515
authors
July 21-27, 2024
dates
Austria
location

2,611 / 2,611 papers

  1. 1
    3D Geometric Shape Assembly via Efficient Point Cloud Matching
    Nahyuk Lee
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  2. 2
    3D-VLA: A 3D Vision-Language-Action Generative World Model
    Haoyu Zhen
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  3. 3
    A Bayesian Approach to Online Planning
    Nir Greshler
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  4. 4
    A Bias-Variance-Covariance Decomposition of Kernel Scores for Generative Models
    Sebastian Gregor Gruber
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  5. 5
    A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design
    Zhihai Wang
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  6. 6
    A Closer Look at the Limitations of Instruction Tuning
    Sreyan Ghosh
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  7. 7
    A Computational Framework for Solving Wasserstein Lagrangian Flows
    Kirill Neklyudov
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  8. 8
    A connection between Tempering and Entropic Mirror Descent
    Nicolas Chopin
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  9. 9
    A Contextual Combinatorial Bandit Approach to Negotiation
    Yexin Li
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  10. 10
    A decoder-only foundation model for time-series forecasting
    Abhimanyu Das
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  11. 11
    A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
    Shentao Yang
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  12. 12
    A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
    Chengrui Li
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  13. 13
    A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
    Sebastian Sanokowski
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  14. 14
    A Distributional Analogue to the Successor Representation
    Harley Wiltzer
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  15. 15
    A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
    Hongchang Gao
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  16. 16
    A Dual-module Framework for Counterfactual Estimation over Time
    Xin Wang
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  17. 17
    A Dynamic Algorithm for Weighted Submodular Cover Problem
    Kiarash Banihashem
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  18. 18
    A Dynamical Model of Neural Scaling Laws
    Blake Bordelon
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  19. 19
    A fast algorithm to simulate nonlinear resistive networks
    Benjamin Scellier
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  20. 20
    A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization
    Xinwen Zhang
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  21. 21
    A Field Guide for Pacing Budget and ROS Constraints
    Santiago R. Balseiro
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  22. 22
    A Fine-grained Analysis of Fitted Q-evaluation: Beyond Parametric Models
    Jiayi Wang
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  23. 23
    A Fixed-Point Approach for Causal Generative Modeling
    Meyer Scetbon
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  24. 24
    A Fresh Take on Stale Embeddings: Improving Dense Retriever Training with Corrector Networks
    Nicholas Monath
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  25. 25
    A General Framework for Learning from Weak Supervision
    Hao Chen
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  26. 26
    A General Framework for Sequential Decision-Making under Adaptivity Constraints
    Nuoya Xiong
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  27. 27
    A General Online Algorithm for Optimizing Complex Performance Metrics
    Wojciech Kotlowski
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  28. 28
    A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
    Huy Nguyen
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  29. 29
    A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
    Baohong Li
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  30. 30
    A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights
    Davide Legacci
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  31. 31
    A Geometric Explanation of the Likelihood OOD Detection Paradox
    Hamidreza Kamkari
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  32. 32
    A Global Geometric Analysis of Maximal Coding Rate Reduction
    Peng Wang
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  33. 33
    A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
    Zhangyang Gao
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  34. 34
    A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design
    Zhihai Wang
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  35. 35
    A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts
    Kuang-Huei Lee
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  36. 36
    A Language Model's Guide Through Latent Space
    Dimitri von Rütte
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  37. 37
    A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
    Dehao Yuan
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  38. 38
    A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity
    Andrew Lee
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  39. 39
    A Minimaximalist Approach to Reinforcement Learning from Human Feedback
    Gokul Swamy
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  40. 40
    A Multimodal Automated Interpretability Agent
    Tamar Rott Shaham
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  41. 41
    A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
    Vincent Cohen-Addad
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  42. 42
    A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
    Xiaochuan Gong
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  43. 43
    A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data
    Wenqiang Li
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  44. 44
    A Neural-Preconditioned Poisson Solver for Mixed Dirichlet and Neumann Boundary Conditions
    Kai Weixian Lan
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  45. 45
    A New Branch-and-Bound Pruning Framework for ℓ0-Regularized Problems
    Théo Guyard
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  46. 46
    A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces
    Tobia Boschi
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  47. 47
    A New Linear Scaling Rule for Private Adaptive Hyperparameter Optimization
    Ashwinee Panda
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  48. 48
    A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions
    Sharath Raghvendra
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  49. 49
    A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
    Jiayi Wang
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  50. 50
    A Persuasive Approach to Combating Misinformation
    Safwan Hossain
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