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|---|---|---|---|---|---|---|---|---|---|---|---|---|
Workshop/TRL
|
https://openreview.net/forum?id=zxaoBcdACd
|
oral
|
2305.12820
|
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering
|
[
"Vaishali Pal",
"Andrew Yates",
"Evangelos Kanoulas",
"Maarten Rijke"
] |
https://huggingface.co/papers/2305.12820
|
[
"https://github.com/kolk/multitabqa"
] |
[] |
[
"vaishali/multitabqa-base",
"vaishali/multitabqa-base-sql",
"vaishali/multitabqa-base-atis",
"vaishali/multitabqa-base-geoquery"
] |
[] |
NeurIPS2024
|
|
Workshop/TRL
|
https://openreview.net/forum?id=zWzgulKtvw
|
poster
|
Generating Data Augmentation Queries Using Large Language Models
|
[
"Christopher Buss",
"Jasmin Mousavi",
"Mikhail Tokarev",
"Arash Termehchy",
"David Maier",
"Stefan Lee"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=uzVCoZSfly
|
poster
|
2310.18541
|
ReConTab: Regularized Contrastive Representation Learning for Tabular Data
|
[
"Suiyao Chen",
"Jing Wu",
"Naira Hovakimyan",
"Handong Yao"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=u2OVQ2Xvq1
|
poster
|
2310.15149
|
Unlocking the Transferability of Tokens in Deep Models for Tabular Data
|
[
"Qile Zhou",
"Han-Jia Ye",
"Leye Wang",
"De-Chuan Zhan"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=s0rM4hWBUq
|
poster
|
Augmentation for Context in Financial Numerical Reasoning over Textual and Tabular Data with Large-Scale Language Model
|
[
"Yechan Hwang",
"Jinsu Lim",
"Young-Jun Lee",
"Ho-Jin Choi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=rSuRu22bbN
|
poster
|
TabContrast: A Local-Global Level Method for Tabular Contrastive Learning
|
[
"Hao Liu",
"Yixin Chen",
"Bradley Fritz",
"Christopher King"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=pPAK4FIopM
|
poster
|
Explaining Explainers: Necessity and Sufficiency in Tabular Data
|
[
"Prithwijit Chowdhury",
"Mohit Prabhushankar",
"Ghassan AlRegib"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=lsn7ehxAdt
|
poster
|
2305.15121
|
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
|
[
"Hugo Thimonier",
"Fabrice Popineau",
"Arpad Rimmel",
"Bich-Liên DOAN"
] |
[
"https://github.com/hugothimonier/npt-ad"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=lWBMNF7D8F
|
poster
|
2305.03515
|
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
|
[
"Sascha Marton",
"Stefan Lüdtke",
"Christian Bartelt",
"Heiner Stuckenschmidt"
] |
[
"https://github.com/s-marton/gradtree"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=l1u7jA60wT
|
poster
|
2403.06644
|
Elephants Never Forget: Testing Language Models for Memorization of Tabular Data
|
[
"Sebastian Bordt",
"Harsha Nori",
"Rich Caruana"
] |
[
"https://github.com/interpretml/llm-tabular-memorization-checker"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=kzR5Cj5blw
|
poster
|
InterpreTabNet: Enhancing Interpretability of Tabular Data Using Deep Generative Models and Large Language Models
|
[
"Jacob Yoke Hong Si",
"Michael Cooper",
"Wendy Yusi Cheng",
"Rahul Krishnan"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=k5Mnd4pO7X
|
poster
|
On Incorporating new Variables during Evaluation
|
[
"Harsimran Bhasin",
"Soumyadeep Ghosh"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=jSebr3OJA2
|
oral
|
2211.06302
|
GCondNet: A Novel Method for Improving Neural Networks on Small High-Dimensional Tabular Data
|
[
"Andrei Margeloiu",
"Nikola Simidjievski",
"Pietro Lio",
"Mateja Jamnik"
] |
[
"https://github.com/andreimargeloiu/gcondnet"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=gs6yfSvwue
|
oral
|
2311.05565
|
High-Performance Transformers for Table Structure Recognition Need Early Convolutions
|
[
"Anthony Peng",
"Seongmin Lee",
"Xiaojing Wang",
"Rajarajeswari (Raji) Balasubramaniyan",
"Duen Horng Chau"
] |
[
"https://github.com/poloclub/tsr-convstem"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=ejfKPO9aw0
|
poster
|
Unnormalized Density Estimation with Root Sobolev Norm Regularization
|
[
"Mark Kozdoba",
"Binyamin Perets",
"Shie Mannor"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=dkeZPuFmIz
|
oral
|
2310.07756
|
Self-supervised Representation Learning from Random Data Projectors
|
[
"Yi Sui",
"Tongzi Wu",
"Jesse Cresswell",
"Ga Wu",
"George Stein",
"Xiao Shi Huang",
"Xiaochen Zhang",
"Maksims Volkovs"
] |
https://huggingface.co/papers/2310.07756
|
[
"https://github.com/layer6ai-labs/lfr"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/TRL
|
https://openreview.net/forum?id=dQLDxIPsU4
|
poster
|
2403.00963
|
Tree-Regularized Tabular Embeddings
|
[
"Xuan Li",
"Yun Wang",
"Bo Li"
] |
https://huggingface.co/papers/2403.00963
|
[
"https://github.com/milanlx/tree-regularized-embedding"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/TRL
|
https://openreview.net/forum?id=btK3lk5puP
|
poster
|
2405.07414
|
Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains
|
[
"Kyungeun Lee",
"Ye Seul Sim",
"Hyeseung Cho",
"Suhee Yoon",
"Sanghyu Yoon",
"Woohyung Lim"
] |
[
"https://github.com/kyungeun-lee/tabularbinning"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=b4GEmjsHAB
|
poster
|
A Deep Learning Blueprint for Relational Databases
|
[
"Lukáš Zahradník",
"Jan Neumann",
"Gustav Šír"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=b0OhN0ii36
|
poster
|
2311.10609
|
Scaling TabPFN: Sketching and Feature Selection for Tabular Prior-Data Fitted Networks
|
[
"Benjamin Feuer",
"Niv Cohen",
"Chinmay Hegde"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=WXNmnmpRBJ
|
poster
|
Modeling string entries for tabular data prediction: do we need big large language models?
|
[
"Leo Grinsztajn",
"Myung Jun Kim",
"Edouard Oyallon",
"Gael Varoquaux"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=VRBhaU8IDz
|
oral
|
2402.14335
|
HyperFast: Instant Classification for Tabular Data
|
[
"David Bonet",
"Daniel Mas Montserrat",
"Xavier Giró-i-Nieto",
"Alexander Ioannidis"
] |
[
"https://github.com/ai-sandbox/hyperfast"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=V4Pa9B8zRk
|
poster
|
2206.00664
|
Hopular: Modern Hopfield Networks for Tabular Data
|
[
"Bernhard Schäfl",
"Lukas Gruber",
"Angela Bitto-Nemling",
"Sepp Hochreiter"
] |
https://huggingface.co/papers/2206.00664
|
[
"https://github.com/ml-jku/hopular"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/TRL
|
https://openreview.net/forum?id=UkP1BSm2tt
|
oral
|
2311.00055
|
Training-Free Generalization on Heterogeneous Tabular Data via Meta-Representation
|
[
"Han-Jia Ye",
"Qile Zhou",
"De-Chuan Zhan"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=TSkiaPP1sq
|
poster
|
NeuroDB: Efficient, Privacy-Preserving and Robust Query Answering with Neural Networks
|
[
"Sepanta Zeighami",
"Cyrus Shahabi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=R8VFPAfOcN
|
poster
|
A DB-First approach to query factual information in LLMs
|
[
"Mohammed Saeed",
"Nicola De Cao",
"Paolo Papotti"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=PxEY7pBb6F
|
poster
|
A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
|
[
"Valeriia Cherepanova",
"Roman Levin",
"Gowthami Somepalli",
"Jonas Geiping",
"C. Bruss",
"Andrew Wilson",
"Tom Goldstein",
"Micah Goldblum"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=OFV0uNeZ7R
|
poster
|
2311.11628
|
Incorporating LLM Priors into Tabular Learners
|
[
"Max Zhu",
"Siniša Stanivuk",
"Andrija Petrovic",
"Mladen Nikolic",
"Pietro Lio"
] |
https://huggingface.co/papers/2311.11628
|
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/TRL
|
https://openreview.net/forum?id=MzSNAO2ZlW
|
poster
|
2306.09610
|
CHORUS: Foundation Models for Unified Data Discovery and Exploration
|
[
"Moe Kayali",
"Anton Lykov",
"Ilias Fountalis",
"Nikolaos Vasiloglou",
"Dan Olteanu",
"Dan Suciu"
] |
[
"https://github.com/mkyl/chorus"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=Ld5UCpiT07
|
oral
|
2310.10358
|
Tabular Representation, Noisy Operators, and Impacts on Table Structure Understanding Tasks in LLMs
|
[
"Ananya Singha",
"José Cambronero",
"Sumit Gulwani",
"Vu Le",
"Chris Parnin"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=JIrTIMI5Yd
|
poster
|
Introducing the Observatory Library for End-to-End Table Embedding Inference
|
[
"Tianji Cong",
"Zhenjie Sun",
"Paul Groth",
"H. Jagadish",
"Madelon Hulsebos"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=IbiiNw4oRj
|
poster
|
2309.17339
|
Scaling Experiments in Self-Supervised Cross-Table Representation Learning
|
[
"Maximilian Schambach",
"Dominique Paul",
"Johannes Otterbach"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=HtdZSf1ObU
|
poster
|
Benchmarking Tabular Representation Models in Transfer Learning Settings
|
[
"Qixuan Jin",
"Talip Ucar"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=HK3MUPgFg4
|
poster
|
2311.07343
|
Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
|
[
"Felix den Breejen",
"Sangmin Bae",
"Stephen Cha",
"Tae-Young Kim",
"Seoung Hyun Koh",
"Se-Young Yun"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=H0gENXL7F2
|
poster
|
In Defense of Zero Imputation for Tabular Deep Learning
|
[
"Mike Van Ness",
"Madeleine Udell"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=FflKTuIRTD
|
oral
|
2310.18742
|
Data Ambiguity Strikes Back: How Documentation Improves GPT's Text-to-SQL
|
[
"Zezhou Huang",
"Pavan Kalyan Damalapati",
"Eugene Wu"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=EocsZtcA7P
|
oral
|
IngesTables: Scalable and Efficient Training of LLM-Enabled Tabular Foundation Models
|
[
"Scott Yak",
"Yihe Dong",
"Javier Gonzalvo",
"Sercan Arik"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=6Kb3pE9nWQ
|
oral
|
Pool-Search-Demonstrate: Improving Data-wrangling LLMs via better in-context examples
|
[
"Joon Suk Huh",
"Changho Shin",
"Elina Choi"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=5sOZNkkKh3
|
oral
|
2305.11853
|
How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings
|
[
"Shuaichen Chang",
"Eric Fosler-Lussier"
] |
[
"https://github.com/shuaichenchang/prompt-text-to-sql"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/TRL
|
https://openreview.net/forum?id=4MkkNsAEmO
|
oral
|
TabPFGen – Tabular Data Generation with TabPFN
|
[
"Junwei Ma",
"Apoorv Dankar",
"George Stein",
"Guangwei Yu",
"Anthony Caterini"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=3gBqMkELhZ
|
poster
|
Multitask-Guided Self-Supervised Tabular Learning for Patient-Specific Survival Prediction
|
[
"You Wu",
"Omid Bazgir",
"Yongju Lee",
"Tommaso Biancalani",
"James Lu",
"Ehsan Hajiramezanali"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/TRL
|
https://openreview.net/forum?id=3L2u0unIHd
|
poster
|
2310.00789
|
Testing the Limits of Unified Sequence to Sequence LLM Pretraining on Diverse Table Data Tasks
|
[
"Soumajyoti Sarkar",
"Leonard Lausen"
] |
https://huggingface.co/papers/2310.00789
|
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/OTML
|
https://openreview.net/forum?id=yLps2oiTu7
|
poster
|
Network Regression with Wasserstein Distances
|
[
"Alexander Zalles",
"Kai M. Hung",
"Ann E. Finneran",
"Lydia Beaudrot",
"Cesar Uribe"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=xRnM2khkx0
|
poster
|
2306.04375
|
Learning via Wasserstein-Based High Probability Generalisation Bounds
|
[
"Paul Viallard",
"Maxime Haddouche",
"Umut Simsekli",
"Benjamin Guedj"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=uj7TZNQclH
|
poster
|
2210.00462
|
Improved Stein Variational Gradient Descent with Importance Weights
|
[
"Lukang Sun",
"Peter Richtárik"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=rlfRnwjrG2
|
poster
|
2206.06854
|
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
|
[
"Mathieu Serrurier",
"Franck Mamalet",
"Thomas FEL",
"Louis Béthune",
"Thibaut Boissin"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=rW8um73AQj
|
poster
|
2306.00182
|
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
|
[
"Gabriel Rioux",
"Ziv Goldfeld",
"Kengo Kato"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=o8ZGNn9LpN
|
poster
|
SpecTr++: Improved transport plans for speculative decoding of large language models
|
[
"Kwangjun Ahn",
"Ahmad Beirami",
"Ziteng Sun",
"Ananda Theertha Suresh"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=njAlHBAt95
|
poster
|
2311.01331
|
Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching
|
[
"Kai Yan",
"Alex Schwing",
"Yu-Xiong Wang"
] |
[
"https://github.com/kaiyan289/pw-dice"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=mCNl1EMAfH
|
poster
|
Semi-discrete Gromov-Wasserstein distances: Existence of Gromov-Monge Maps and Statistical Theory
|
[
"Gabriel Rioux",
"Ziv Goldfeld",
"Kengo Kato"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=hwBPHlH9tK
|
poster
|
2305.00402
|
Sliced Wasserstein Estimation with Control Variates
|
[
"Khai Nguyen",
"Nhat Ho"
] |
https://huggingface.co/papers/2305.00402
|
[
"https://github.com/khainb/cv-sw"
] |
[] |
[] |
[] |
NeurIPS2024
|
|
Workshop/OTML
|
https://openreview.net/forum?id=fwXj1c6faX
|
poster
|
Zero-shot Cross-task Preference Alignment for Offline RL via Optimal Transport
|
[
"Runze Liu",
"Yali Du",
"Fengshuo Bai",
"Jiafei Lyu",
"Xiu Li"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=eUZZHoTknJ
|
oral
|
2309.15970
|
Accelerating Motion Planning via Optimal Transport
|
[
"An Le",
"Georgia Chalvatzaki",
"Armin Biess",
"Jan Peters"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=aJbyq2lmQc
|
poster
|
Outlier-Robust Wasserstein DRO
|
[
"Sloan Nietert",
"Ziv Goldfeld",
"Soroosh Shafieezadeh-Abadeh"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=ZbioTIO6y6
|
oral
|
Towards a Statistical Theory of Learning to Learn In-context with Transformers
|
[
"Youssef Mroueh"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=YI873MmwQJ
|
poster
|
Estimating Fréchet bounds for validating programmatic weak supervision
|
[
"Felipe Maia Polo",
"Mikhail Yurochkin",
"Moulinath Banerjee",
"Subha Maity",
"Yuekai Sun"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=XWKy9bjNOA
|
poster
|
2312.14572
|
Semidefinite Relaxations of the Gromov-Wasserstein Distance
|
[
"Junyu Chen",
"Binh Nguyen",
"Yong Sheng Soh"
] |
[
"https://github.com/tbng/gwsdp"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=WWk68S38Cn
|
poster
|
2212.14424
|
Normalizing flow neural networks by JKO scheme
|
[
"Chen Xu",
"Xiuyuan Cheng",
"Yao Xie"
] |
[
"https://github.com/hamrel-cxu/jko-iflow"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=ToLEG6EEaU
|
poster
|
SyMOT-Flow: Learning optimal transport flow for two arbitrary distributions with maximum mean discrepancy
|
[
"Zhe Xiong",
"Qiaoqiao Ding",
"Xiaoqun Zhang"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=ReUeclFikK
|
poster
|
2305.11857
|
Computing high-dimensional optimal transport by flow neural networks
|
[
"Chen Xu",
"Xiuyuan Cheng",
"Yao Xie"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=RYPNAOWANk
|
poster
|
Duality and Sample Complexity for the Gromov-Wasserstein Distance
|
[
"Zhengxin Zhang",
"Ziv Goldfeld",
"Youssef Mroueh",
"Bharath Sriperumbudur"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=RXYURNZzfs
|
poster
|
PTLP: Partial Transport L^p Distances
|
[
"Xinran Liu",
"Yikun Bai",
"Huy Tran",
"Zhanqi Zhu",
"Matthew Thorpe",
"Soheil Kolouri"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=Puw2kj7Wc7
|
poster
|
2310.13653
|
Optimal Transport for Measures with Noisy Tree Metric
|
[
"Tam Le",
"Truyen Nguyen",
"Kenji Fukumizu"
] |
[
"https://github.com/lttam/robustot-noisytreemetric"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=PkoKaLNvGW
|
poster
|
2203.07490
|
Repairing Regressors for Fair Binary Classification at Any Decision Threshold
|
[
"Kweku Kwegyir-Aggrey",
"Jessica Dai",
"A. Feder Cooper",
"John Dickerson",
"Keegan Hines",
"Suresh Venkatasubramanian"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=PMGGrKTIii
|
poster
|
Causal Discovery via Monotone Triangular Transport Maps
|
[
"Sina Akbari",
"Luca Ganassali",
"Negar Kiyavash"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=OyDMxFt35U
|
poster
|
Applications of Optimal Transport Distances in Unsupervised AutoML
|
[
"Prabhant Singh",
"Joaquin Vanschoren"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=Ne4WjToIb6
|
poster
|
Data-Conditional Diffusion Bridges
|
[
"Ella Tamir",
"Martin Trapp",
"Arno Solin"
] |
[
"https://github.com/aaltoml/iterative-smoothing-bridge"
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=MJ1qZBwHHI
|
poster
|
Characterizing Out-of-Distribution Error via Optimal Transport
|
[
"Yuzhe Lu",
"Yilong Qin",
"Runtian Zhai",
"Andrew Shen",
"Ketong Chen",
"Zhenlin Wang",
"Soheil Kolouri",
"Simon Stepputtis",
"Joseph Campbell",
"Katia Sycara"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=LXGhneskDs
|
poster
|
A generative flow model for conditional sampling via optimal transport
|
[
"Jason Alfonso",
"Ricardo Baptista",
"Anupam Bhakta",
"Noam Gal",
"Alfin Hou",
"Vasilisa Lyubimova",
"Daniel Pocklington",
"Josef Sajonz",
"Giulio Trigila",
"Ryan Tsai"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=L7c0hEWO2m
|
poster
|
2310.12055
|
Understanding Reward Ambiguity Through Optimal Transport Theory in Inverse Reinforcement Learning
|
[
"Ali Baheri"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=Kwrz4fYD2E
|
poster
|
2310.02925
|
Optimal Transport with Adaptive Regularisation
|
[
"Hugues Van Assel",
"Titouan Vayer",
"Rémi Flamary",
"Nicolas Courty"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=DW3a9czPGx
|
poster
|
2402.14991
|
Quantum Theory and Application of Contextual Optimal Transport
|
[
"Nicola Mariella",
"Jannis Born",
"Albert Akhriev",
"Francesco Tacchino",
"Christa Zoufal",
"Eugene Koskin",
"Ivano Tavernelli",
"Stefan Woerner",
"Marianna Rapsomaniki",
"Sergiy Zhuk"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=CmgB5fGWbN
|
poster
|
2310.03398
|
Interpolating between Clustering and Dimensionality Reduction with Gromov-Wasserstein
|
[
"Hugues Van Assel",
"Cédric Vincent-Cuaz",
"Titouan Vayer",
"Rémi Flamary",
"Nicolas Courty"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=Bd4DTPzOGO
|
poster
|
On Schrödinger Bridge Matching and Expectation Maximization
|
[
"Rob Brekelmans",
"Kirill Neklyudov"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=AusgpiFekp
|
poster
|
2012.09226
|
Optimal transport for vector Gaussian mixture models
|
[
"Jiening Zhu",
"Kaiming Xu",
"Allen Tannenbaum"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=9xW9OgdJfs
|
poster
|
Unsupervised Learning Permutations for TSP using Gumbel-Sinkhorn Operator
|
[
"Yimeng Min",
"Carla Gomes"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=9P02CcVkGU
|
poster
|
Adaptive Algorithms for Continuous-Time Transport: Homotopy-Driven Sampling and a New Interacting Particle System
|
[
"Aimee Maurais",
"Youssef Marzouk"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=6Muz6c1wBc
|
poster
|
Fast and Accurate Cost-Scaling Algorithm for the Semi-Discrete Optimal Transport
|
[
"Pankaj Agarwal",
"Sharath Raghvendra",
"Pouyan Shirzadian",
"Keegan Yao"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/OTML
|
https://openreview.net/forum?id=5NGwDptjPx
|
poster
|
2310.10649
|
A Computational Framework for Solving Wasserstein Lagrangian Flows
|
[
"Kirill Neklyudov",
"Rob Brekelmans",
"Alexander Tong",
"Lazar Atanackovic",
"qiang liu",
"Alireza Makhzani"
] |
[
"https://github.com/necludov/wl-mechanics"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=237y5Bc0p8
|
oral
|
2305.17558
|
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation
|
[
"Aniket Das",
"Dheeraj Nagaraj"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/OTML
|
https://openreview.net/forum?id=1Yi0XQviNO
|
poster
|
Fourier-Based Bounds for Wasserstein Distances and Their Implications in Computational Inversion
|
[
"Wanli Hong",
"Vladimir A Kobzar",
"Kui Ren"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=xqvB784PCv
|
oral
|
2301.13336
|
The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
|
[
"Justin Singh Kang",
"Kannan Ramchandran",
"Ramtin Pedarsani"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=sPtEDSVD4K
|
poster
|
Beyond Parameter Averaging in Model Aggregation
|
[
"Pol G. Recasens",
"Jordi Torres",
"Josep Lluis Berral",
"Søren Hauberg",
"Pablo Moreno-Muñoz"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=s7hquGszME
|
poster
|
DPZero: Dimension-Independent and Differentially Private Zeroth-Order Optimization
|
[
"Liang Zhang",
"Kiran Koshy Thekumparampil",
"Sewoong Oh",
"Niao He"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=qwnOt7FFSD
|
poster
|
2303.10218
|
An Empirical Evaluation of Federated Contextual Bandit Algorithms
|
[
"Alekh Agarwal",
"Hugh McMahan",
"Zheng Xu"
] |
[
"https://github.com/google-research/federated"
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=qQ2qXFu05s
|
poster
|
Parameter Averaging Laws for Multitask Language Models
|
[
"Woojin Chung",
"Hyowon Cho",
"James Thorne",
"Se-Young Yun"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=ozN92d7CHX
|
oral
|
Federated Learning for Speech Recognition: Revisiting Current Trends Towards Large-Scale ASR
|
[
"Sheikh Shams Azam",
"Martin Pelikan",
"Vitaly Feldman",
"Kunal Talwar",
"Jan Silovsky",
"Tatiana Likhomanenko"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=le0Emy9SqA
|
poster
|
Consensus Optimization at Representation: Improving Personalized Federated Learning via Data-Centric Regularization
|
[
"Heng Zhu",
"Arya Mazumdar"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=ldN6QdyukS
|
poster
|
Augmenting Federated Learning with Pretrained Transformers
|
[
"Xuechen Zhang",
"Mingchen Li",
"Xiangyu Chang",
"Jiasi Chen",
"Amit Roy-Chowdhury",
"Ananda Suresh",
"Samet Oymak"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=lcElZPvMFp
|
poster
|
2409.07291
|
Exploring User-level Gradient Inversion with a Diffusion Prior
|
[
"Zhuohang Li",
"Andrew Lowy",
"Jing Liu",
"Toshiaki Koike-Akino",
"Bradley A. Malin",
"Kieran Parsons",
"Ye Wang"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=iKQC652XIk
|
poster
|
2303.06530
|
Making Batch Normalization Great in Federated Deep Learning
|
[
"Jike Zhong",
"Hong-You Chen",
"Wei-Lun Chao"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=gACRiXPGmM
|
poster
|
2311.08479
|
Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning
|
[
"Xidong Wu",
"Wan-Yi Lin",
"Devin Willmott",
"Filipe Condessa",
"Yufei Huang",
"Zhenzhen Li",
"Madan Ganesh"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=dsWg7n6zoo
|
oral
|
HePCo: Data-Free Heterogeneous Prompt Consolidation for Continual Federated Learning
|
[
"Shaunak Halbe",
"James Seale Smith",
"Junjiao Tian",
"Zsolt Kira"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=YqqWQP8POe
|
poster
|
MARINA Meets Matrix Stepsizes: Variance Reduced Distributed Non-Convex Optimization
|
[
"Hanmin Li",
"Avetik Karagulyan",
"Peter Richtárik"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=XSfsvBoc8M
|
poster
|
Private and Personalized Histogram Estimation in a Federated Setting
|
[
"Amrith Setlur",
"Vitaly Feldman",
"Kunal Talwar"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=XJhL1XlefX
|
oral
|
2207.10265
|
FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data
|
[
"Wenda Chu",
"Chulin Xie",
"Boxin Wang",
"Linyi Li",
"Lang Yin",
"Arash Nourian",
"Han Zhao",
"Bo Li"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=WYLhRgBAFH
|
oral
|
FedSoL: Bridging Global Alignment and Local Generality in Federated Learning
|
[
"Gihun Lee",
"Minchan Jeong",
"SangMook Kim",
"Jaehoon Oh",
"Se-Young Yun"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=TaDiklyVps
|
oral
|
Towards Building the FederatedGPT: Federated Instruction Tuning
|
[
"Jianyi Zhang",
"Saeed Vahidian",
"Martin Kuo",
"Chunyuan Li",
"Ruiyi Zhang",
"Tong Yu",
"Guoyin Wang",
"Yiran Chen"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=SvJx4a75QZ
|
poster
|
TAMUNA: Doubly Accelerated Federated Learning with Local Training, Compression, and Partial Participation
|
[
"Laurent Condat",
"Ivan Agarský",
"Grigory Malinovsky",
"Peter Richtárik"
] |
[
""
] |
[] |
[] |
[] |
NeurIPS2024
|
|||
Workshop/Federated_Learning
|
https://openreview.net/forum?id=PuYD0fh5aq
|
poster
|
2303.10837
|
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
|
[
"Weizhao Jin",
"Yuhang Yao",
"Shanshan Han",
"Carlee Joe-Wong",
"Srivatsan Ravi",
"Salman Avestimehr",
"Chaoyang He"
] |
[
"https://github.com/FedML-AI/FedML"
] |
[] |
[] |
[] |
NeurIPS2024
|
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