hunoutl/paperlists huggingface dataset:
Title: A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening
Authors: Yifan Chen, Rentian Yao, Yun Yang, Jie Chen
Affiliations: Hong Kong Baptist University; MIT-IBM Watson AI Lab, IBM Research; University of Illinois Urbana-Champaign
Conference: icml 2023 (main track)
Decision: Poster
Title: Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
Authors: Michael Kirchhof, Enkelejda Kasneci, Seong Joon Oh
Affiliations: University of Tübingen, Tübingen AI Center, Germany; TUM University, Munich, Germany; University of Tübingen, Germany
Conference: icml 2023 (main track)
Decision: Poster
Title: One-Shot Compression of Large Edge-Exchangeable Graphs using Bits-Back Coding
Authors: Daniel Severo, James Townsend, Ashish Khisti, Alireza Makhzani
Affiliations: Department of Electrical and Computer Engineering, University of Toronto; Vector Institute for Artificial Intelligence; Amsterdam Machine Learning Lab (AMLab), University of Amsterdam; Department of Electrical and Computer Engineering, University of Toronto
Conference: icml 2023 (main track)
Decision: Poster
Title: Algorithmic Stability of Heavy-Tailed SGD with General Loss Functions
Authors: Anant Raj, Lingjiong Zhu, Mert Gürbüzbalaban, Umut Şimşekli
Affiliations: Department of Mathematics, Florida State University, FL, USA; Inria, Ecole Normale Supérieure, PSL Research University, Paris, France; Coordinated Science Laboratory, University of Illinois Urbana-Champaign, IL, USA; Department of Management Science and Information Systems, Rutgers University, NJ, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: HOPE: High-order Graph ODE For Modeling Interacting Dynamics
Authors: Xiao Luo, Jingyang Yuan, Zijie Huang, Huiyu Jiang, Yifang Qin, Wei Ju, Ming Zhang, Yizhou Sun
Affiliations: Department of Computer Science, University of California, Los Angeles, USA; National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Department of Statistics and Applied Probability, University of California, Santa Barbara, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
Authors: Yidong Ouyang, Liyan Xie, Guang Cheng
Affiliations: Department of Statistics, University of California, Los Angeles, USA; School of Data Science, The Chinese University of Hong Kong, Shenzhen, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Entropy-driven Unsupervised Keypoint Representation Learning in Videos
Authors: Ali Younes, Simone Schaub-Meyer, Georgia Chalvatzaki
Affiliations: Department of Computer Science, Technische Universit¨at Darmstadt, Germany; Hessian.AI; Department of Computer Science, Technische Universit¨at Darmstadt, Germany; Center for Mind, Brain and Behavior (CMBB), Uni. Marburg and JLU Giessen
Conference: icml 2023 (main track)
Decision: Poster
Title: SinFusion: Training Diffusion Models on a Single Image or Video
Authors: Yaniv Nikankin, Niv Haim, Michal Irani, Project Page:  bluehttps://yanivnik.github.io/sinfusion
Affiliations: Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot, Israel
Conference: icml 2023 (main track)
Decision: Poster
Title: DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design
Authors: Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu
Conference: icml 2023 (main track)
Decision: Poster
Title: A/B Testing in Network Data with Covariate-Adaptive Randomization
Authors: Jialu Wang Ping Li Feifang Hu, Department of Statistics LinkedIn Ads Department of Statistics, George Washington Univ. Linkedin Corporation George Washington Univ., Washington, DC 20052, USA   Bellevue, WA 98004, USA Washington, DC 20052, USA, jialu@gwu.edu  pinli@linkedin.com   feifang@gwu.edu
Affiliations: LinkedIn Ads, Linkedin Corporation, Bellevue, WA 98004, USA; Department of Statistics, George Washington Univ., Washington, DC 20052, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes
Authors: Chenlu Ye, Wei Xiong, Quanquan Gu, Tong Zhang
Affiliations: The Hong Kong University of Science and Technology; Department of Computer Science, University of California, Los Angeles
Conference: icml 2023 (main track)
Decision: Poster
Title: No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
Authors: Feilong Zhang, Xianming Liu, Shiyi Lin, Gang Wu, Xiong Zhou, Junjun Jiang, Xiangyang Ji
Affiliations: Faculty of Computing, Harbin Institute of Technology, Harbin, China; Peng Cheng Laboratory, Shenzhen, China; Faculty of Computing, Harbin Institute of Technology, Harbin, China; Department of Automation, Tsinghua University, Beijing, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Pretraining Language Models with Human Preferences
Authors: Tomasz Korbak, Kejian Shi, Angelica Chen, Rasika Bhalerao, Christopher L. Buckley, Jason Phang, Samuel R. Bowman, Ethan Perez
Affiliations: New York University; Northeastern University; University of Sussex; Anthropic; FAR AI
Conference: icml 2023 (main track)
Decision: Oral
Title: Compositional Exemplars for In-context Learning
Authors: Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong
Affiliations: Department of Computer Science, The University of Hong Kong; Shark-NLP, Shanghai Artificial Intelligence Laboratory; Shark-NLP, Shanghai Artificial Intelligence Laboratory; Department of Computer Science, The University of Hong Kong
Conference: icml 2023 (main track)
Decision: Poster
Title: CAB: Comprehensive Attention Benchmarking on Long Sequence Modeling
Authors: Jun Zhang, Shuyang Jiang, Jiangtao Feng, Lin Zheng, Lingpeng Kong
Affiliations: 1Shanghai AI Laboratory, 2Shanghai Jiao Tong University; 1Shanghai AI Laboratory; 3The University of Hong Kong
Conference: icml 2023 (main track)
Decision: Poster
Title: Diffusion Models as Artists: Are we Closing the Gap between Humans and Machines?
Authors: Victor Boutin, Thomas Fel, Lakshya Singhal, Rishav Mukherji, Akash Nagaraj, Julien Colin, Thomas Serre
Affiliations: Carney Institute for Brain Science, Dpt. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912; Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, Toulouse, France; ELLIS Alicante, Spain; Artificial and Natural Intelligence Toulouse Institute, Université de Toulouse, Toulouse, France; Carney Institute for Brain Science, Dpt. of Cognitive Linguistic & Psychological Sciences, Brown University, Providence, RI 02912
Conference: icml 2023 (main track)
Decision: Oral
Title: Behavior Contrastive Learning for Unsupervised Skill Discovery
Authors: Rushuai Yang, Chenjia Bai, Hongyi Guo, Siyuan Li, Bin Zhao, Zhen Wang, Peng Liu, Xuelong Li
Affiliations: Northwestern University, USA; Shanghai Artificial Intelligence Laboratory, China; Northwestern Polytechnical University, China; Harbin Institute of Technology, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Cocktail Party Attack: Breaking Aggregation-Based Privacy in Federated Learning Using Independent Component Analysis
Authors: Sanjay Kariyappa, Chuan Guo, Kiwan Maeng, Wenjie Xiong, G. Edward Suh, Moinuddin K Qureshi, Hsien-Hsin S. Lee
Affiliations: Intel; Georgia Institute of Technology; Virginia Tech; Pennsylvania State University; Meta AI; Cornell University
Conference: icml 2023 (main track)
Decision: Poster
Title: Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers
Authors: Yineng Chen, Zuchao Li, Lefei Zhang, Bo Du, Hai Zhao
Affiliations: Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, P. R. China; National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China; National Engineering Research Center for Multimedia Software, School of Computer Science, Wuhan University, Wuhan, 430072, P. R. China; Hubei Luojia Laboratory, Wuhan 430072, P. R. China
Conference: icml 2023 (main track)
Decision: Poster
Title: Model-Aware Contrastive Learning: Towards Escaping the Dilemmas
Authors: Zizheng Huang, Haoxing Chen, Ziqi Wen, Chao Zhang, Huaxiong Li, Bo Wang, Chunlin Chen
Affiliations: Nanjing University, Ant Group; China Telecom; Nanjing University
Conference: icml 2023 (main track)
Decision: Poster
Title: MABe22: A Multi-Species Multi-Task Benchmark for Learned Representations of Behavior
Authors: Jennifer J. Sun, Markus Marks, Andrew W. Ulmer, Dipam Chakraborty, Brian Geuther, Edward Hayes, Heng Jia, Vivek Kumar, Sebastian Oleszko, Zachary Partridge, Milan Peelman, Alice Robie, Catherine E. Schretter, Keith Sheppard, Chao Sun, Param Uttarwar, Julian M. Wagner, Erik Werner, Joseph Parker, Pietro Perona, Yisong Yue, Kristin Branson, Ann Kennedy, Website: ` `%%%`#`&12_`__~~~ॲ甀攀 
Affiliations: AICrowd; Caltech; JAX Labs; University of New South Wales; Janelia; Ghent University; Saarland University; Northwestern University; Zhejiang University; IRLAB Therapeutics
Conference: icml 2023 (main track)
Decision: Poster
Title: Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
Authors: Batuhan Yardim, Semih Cayci, Matthieu Geist, Niao He
Affiliations: Department of Computer Science, ETH Zürich, Zürich, Switzerland; Google Research, Brain team; Department of Mathematics, RWTH Aachen University, Aachen, Germany
Conference: icml 2023 (main track)
Decision: Poster
Title: Best Arm Identification in Multi-Agent Multi-Armed Bandits
Authors: Filippo Vannella, Alexandre Proutiere, Jaeseong Jeong
Affiliations: KTH Royal Institute of Technology, Stockholm, Sweden; Ericsson, Stockholm, Sweden; KTH Royal Institute of Technology, Stockholm, Sweden; Ericsson, Stockholm, Sweden
Conference: icml 2023 (main track)
Decision: Poster
Title: $\pi$-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation
Authors: Chengyue Wu, Teng Wang, Yixiao Ge, Zeyu Lu, Ruisong Zhou, Ying Shan, Ping Luo
Affiliations: Department of Computer Science, The University of Hong Kong; ARC Lab, Tencent PCG; Shanghai Jiao Tong University; School of Mathematical Sciences, Fudan University
Conference: icml 2023 (main track)
Decision: Poster
Title: Hindsight Learning for MDPs with Exogenous Inputs
Authors: Sean R. Sinclair, Felipe Frujeri, Ching-An Cheng, Luke Marshall, Hugo Barbalho, Jingling Li, Jennifer Neville, Ishai Menache, Adith Swaminathan
Affiliations: School of Operations Research and Information Engineering, Cornell University; Microsoft Research, Redmond; Department of Computer Science, University of Maryland
Conference: icml 2023 (main track)
Decision: Poster
Title: Less is More: Task-aware Layer-wise Distillation for Language Model Compression
Authors: Chen Liang, Simiao Zuo, Qingru Zhang, Pengcheng He, Weizhu Chen, Tuo Zhao
Affiliations: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, U.S.A.; Microsoft, Redmond, U.S.A.
Conference: icml 2023 (main track)
Decision: Poster
Title: Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
Authors: Jonathan Hehir, Daniel Ting, Graham Cormode
Affiliations: Meta, Seattle, WA, USA; University of Warwick, Coventry, UK; Department of Statistics, Penn State University, State College, PA, USA; Work performed while at Meta.
Conference: icml 2023 (main track)
Decision: Oral
Title: FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning
Authors: Congyu Qiao, Ning Xu, Jiaqi Lv, Yi Ren, Xin Geng
Affiliations: Research Center for Healthcare Data-Science, Zhejianglab, China; RIKEN Center for Advanced Intelligence Project; School of Computer Science and Engineering, Southeast University, Nanjing 210096, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Relevant Walk Search for Explaining Graph Neural Networks
Authors: Ping Xiong, Thomas Schnake , Michael Gastegger , Grégoire Montavon, Klaus-Robert Müller, Shinichi Nakajima
Affiliations: Technische Universit ¨at Berlin (TU Berlin); Freie Universit ¨at Berlin (FU Berlin); Technische Universit ¨at Berlin (TU Berlin), BIFOLD – Berlin Institute for the Foundations of Learning and Data; Technische Universit ¨at Berlin (TU Berlin), BIFOLD – Berlin Institute for the Foundations of Learning and Data, Department of Artificial Intelligence, Korea University, Seoul 136-713, Korea, Max Planck Institut f¨ur Informatik, 66123 Saarbr ¨ucken, Germany, Google Research, Brain team, Berlin; Technische Universit ¨at Berlin (TU Berlin), BIFOLD – Berlin Institute for the Foundations of Learning and Data, RIKEN Center for AIP, Japan
Conference: icml 2023 (main track)
Decision: Poster
Title: The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning
Authors: Sarah Rathnam, Sonali Parbhoo, Weiwei Pan, Susan Murphy, Finale Doshi-Velez
Affiliations: Imperial College London, London UK; Harvard University, School of Engineering and Applied Sciences, Cambridge, MA USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Adaptive Identification of Populations with Treatment Benefit in Clinical Trials: Machine Learning Challenges and Solutions
Authors: Alicia Curth, Alihan Hüyük, Mihaela van der Schaar
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK; The Alan Turing Institute; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK
Conference: icml 2023 (main track)
Decision: Poster
Title: Controlling Posterior Collapse by an Inverse Lipschitz Constraint on the Decoder Network
Authors: Yuri Kinoshita, Kenta Oono, Kenji Fukumizu, Yuichi Yoshida, Shin-ichi Maeda
Affiliations: The Institute of Statistical Mathematics, Tokyo, Japan; Preferred Networks, Inc., Tokyo, Japan; National Institute of Informatics (NII), Tokyo, Japan; The University of Tokyo, Tokyo, Japan. Work done at Preferred Networks.
Conference: icml 2023 (main track)
Decision: Poster
Title: Demonstration-free Autonomous Reinforcement Learning via Implicit and Bidirectional Curriculum
Authors: Jigang Kim, Daesol Cho, H. Jin Kim
Affiliations: 1 Seoul National University, 2 Artificial Intelligence Institute of Seoul National University (AIIS); 3 Automation and Systems Research Institute (ASRI)
Conference: icml 2023 (main track)
Decision: Poster
Title: On Coresets for Clustering in Small Dimensional Euclidean spaces
Authors: Lingxiao Huang, Ruiyuan Huang, Zengfeng Huang, Xuan Wu
Affiliations: Huawei TCS Lab, Shanghai, China; School of Data Science, Fudan University, Shanghai, China; State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Pareto Manifold Learning: Tackling multiple tasks via ensembles of single-task models
Authors: Nikolaos Dimitriadis, Pascal Frossard, François Fleuret
Affiliations: University of Geneva, Geneva, Switzerland; Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Conference: icml 2023 (main track)
Decision: Poster
Title: Conformal Prediction with Missing Values
Authors: Margaux Zaffran, Aymeric Dieuleveut, Julie Josse, Yaniv Romano
Affiliations: CMAP, École polytechnique, Institut Polytechnique de Paris, Palaiseau, France; Electricité de France R&D, Palaiseau, France; PreMeDICaL project team, INRIA Sophia-Antipolis, Montpellier, France; CMAP, École polytechnique, Institut Polytechnique de Paris, Palaiseau, France; Departments of Electrical Engineering and of Computer Science, Technion - Israel Institute of Technology, Haifa, Israel; PreMeDICaL project team, INRIA Sophia-Antipolis, Montpellier, France
Conference: icml 2023 (main track)
Decision: Poster
Title: Data Structures for Density Estimation
Authors: Anders Aamand, Alexandr Andoni, Justin Y. Chen, Piotr Indyk, Shyam Narayanan, Sandeep Silwal
Affiliations: Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA; Data Science Institute, Columbia University, New York, NY 10027, USA
Conference: icml 2023 (main track)
Decision: Poster
Title: Drug Discovery under Covariate Shift with Domain-Informed Prior Distributions over Functions
Authors:  Leo Klarner ,  Tim G. J. Rudner ,  Michael Reutlinger ,  Torsten Schindler ,  Garrett M. Morris ,  Charlotte M. Deane ,  Yee Whye Teh 
Affiliations: Pharma Research & Early Development, Roche, Switzerland; Department of Statistics, University of Oxford, United Kingdom
Conference: icml 2023 (main track)
Decision: Poster
Title: Theoretical Behavior of XAI Methods in the Presence of Suppressor Variables
Authors: Rick Wilming, Leo Kieslich, Benedict Clark, Stefan Haufe
Affiliations: Charit ´e – Univer-sit¨atsmedizin, Berlin, Germany; Technische Universit ¨at, Berlin, Germany; Physikalisch-Technische Bundesanstalt, Berlin, Germany
Conference: icml 2023 (main track)
Decision: Poster
Title: Fully Dynamic Submodular Maximization over Matroids
Authors: Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
Affiliations: Department of Computer, Control and Management Engineering “Antonio Ruberti”, Sapienza University of Rome, Rome, Italy; Google Research
Conference: icml 2023 (main track)
Decision: Poster
Title: Robust Collaborative Learning with Linear Gradient Overhead
Authors: Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan
Affiliations: Tournesol, Calicarpa, Switzerland; EPFL, Lausanne, Switzerland
Conference: icml 2023 (main track)
Decision: Poster
Title: Deterministic equivalent and error universality of deep random features learning
Authors: Dominik Schröder*, Hugo Cui*, Daniil Dmitriev, Bruno Loureiro
Affiliations: D´epartement d’Informatique, ´Ecole Normale Sup ´erieure (ENS) - PSL & CNRS, F-75230 Paris cedex 05, France; Department of Mathematics, ETH Zurich, 8006 Z ¨urich, Switzerland; Statistical Physics Of Computation lab., Institute of Physics, ´Ecole Polytechnique F ´ed´erale de Lausanne (EPFL), 1015 Lausanne, Switzerland; Department of Mathematics, ETH Zurich and ETH AI Center, 8092 Z ¨urich, Switzerland
Conference: icml 2023 (main track)
Decision: Poster
Title: Are Large Kernels Better Teachers than Transformers for ConvNets?
Authors: Tianjin Huang, Lu Yin, Zhenyu Zhang, Li Shen, Meng Fang, Mykola Pechenizkiy, Zhangyang Wang, Shiwei Liu
Affiliations: Department of Mathematics and Computer Science, Eindhoven University of Technology; Department of Electrical and Computer Engineering, University of Texas at Austin; JD Explore Academy; Department of Computer Science, University of Liverpool
Conference: icml 2023 (main track)
Decision: Poster
Title: Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Authors: Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich
Affiliations: CISPA Helmholtz Center for Information Security, Germany; Inria Grenoble, France (work done in part while at EPFL); EPFL, Switzerland
Conference: icml 2023 (main track)
Decision: Poster
Title: The Power of Uniform Sampling for k-Median
Authors: Lingxiao Huang, Shaofeng H.-C. Jiang, Jianing Lou
Affiliations: State Key Laboratory of Novel Software Technology, Nanjing University, Jiangsu, China; Center on Frontiers of Computing Studies, Peking University, Beijing, China
Conference: icml 2023 (main track)
Decision: Poster
Title: From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
Authors: Edwige Cyffers, Aurelien Bellet, Debabrota Basu
Affiliations: Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9189 - CRIStAL, F-59000 Lille
Conference: icml 2023 (main track)
Decision: Poster
Title: Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data
Authors: Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
Affiliations: Department of Computational Applied Mathematics & Operations Research, Rice University; D´epartement d’informatique de l’ENS, ENS, CNRS, PSL University, Paris, France; Laboratoire de Physique de l’ ´Ecole normale supérieure, ENS, Université PSL, CNRS, Sorbonne Université, Université Paris Cité, F-75005 Paris, France; Institut de Physique du Globe de Paris
Conference: icml 2023 (main track)
Decision: Poster
Title: Distribution Free Domain Generalization
Authors: Peifeng Tong, Wu Su, He Li, Jialin Ding, Haoxiang Zhan, Song Xi Chen
Affiliations: School of Mathematical Science, Peking University, Beijing 100871, China; Pazhou Lab, Guangzhou 510330, China; Center for Big Data Research, Peking University, Beijing 100871, China; Guanghua School of Management, Peking University, Beijing 100871, China; School of Mathematical Science, Peking University, Beijing 100871, China
Conference: icml 2023 (main track)
Decision: Poster
Title: Neural networks trained with SGD learn distributions of increasing complexity
Authors: Maria Refinetti, Alessandro Ingrosso, Sebastian Goldt
Affiliations: 1. Laboratoire de Physique de l’Ecole Normale Supérieure, Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot, Sorbonne Paris Cité, Paris, France 2. IdePHICS laboratory, École Fédérale Polytechnique de Lausanne (EPFL), Switzerland; The Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy; International School of Advanced Studies (SISSA), Trieste, Italy
Conference: icml 2023 (main track)
Decision: Poster
Title: Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Authors: Yuxin Tang, Zhimin Ding, Dimitrije Jankov, Binhang Yuan, Daniel Bourgeois, Chris Jermaine
Affiliations: Department of Computer Science, Rice University, Houston, US; ETH Zurich, Switzerland
Conference: icml 2023 (main track)
Decision: Poster
Title: Recasting Self-Attention with Holographic Reduced Representations
Authors: Mohammad Mahmudul Alam, Edward Raff, Stella Biderman, Tim Oates, James Holt
Affiliations: Department of Computer Science and Electrical Engineering, University of Maryland, Baltimore County, Baltimore, MD, USA; Booz Allen Hamilton, McLean, VA, USA; Laboratory for Physical Sciences, College Park, MD, USA; Booz Allen Hamilton, McLean, VA, USA; Laboratory for Physical Sciences, College Park, MD, USA; Booz Allen Hamilton, McLean, VA, USA; EleutherAI
Conference: icml 2023 (main track)
Decision: Poster
Title: Variational Mixture of HyperGenerators for Learning Distributions over Functions
Authors: Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Universidad Carlos III de Madrid, Madrid, Spain; Saarland University, Saarbrücken, Germany
Conference: icml 2023 (main track)
Decision: Poster
Title: Bayes-optimal Learning of Deep Random Networks of Extensive-width
Authors: Hugo Cui, Florent Krzakala, Lenka Zdeborová
Affiliations: Information Learning and Physics lab, Institute of Electrical Engineering, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland; Statistical Physics Of Computation lab, Institute of Physics, Ecole Polytechnique Federale de Lausanne, 1015 Lausanne, Switzerland
Conference: icml 2023 (main track)
Decision: Oral
Title: ED-Batch: Efficient Automatic Batching of Dynamic Neural Networks via Learned Finite State Machines
Authors: Siyuan Chen, Pratik Fegade, Tianqi Chen, Phillip B. Gibbons, Todd C. Mowry
Affiliations: School of EECS, Peking University; Carnegie Mellon University; Carnegie Mellon University, OctoML
Conference: icml 2023 (main track)
Decision: Poster
Title: Projected Tensor Power Method for Hypergraph Community Recovery
Authors: Jinxin Wang, Yuen-Man Pun, Xiaolu Wang, Peng Wang, Anthony Man-Cho So
Affiliations: Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor; Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong, Hong Kong; CIICADA Lab, School of Engineering, Australian National University, Canberra
Conference: icml 2023 (main track)
Decision: Poster