Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mirror and Preconditioned Gradient Descent in Wasserstein Space

Pierre-Cyril Aubin-Frankowski, Clément Bonet, Adam David, Anna Korba, Théo Uscidda p25311-25374 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

Kwangjun Ahn, Navid Azizan, Haoyuan Sun, Christos Thrampoulidis p31089-31101 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mirror Descent with Relative Smoothness in Measure Spaces, with Application to Sinkhorn and EM

Pierre-Cyril Aubin-Frankowski, Anna Korba, Flavien Léger p17263-17275 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mirror Diffusion Models for Constrained and Watermarked Generation

Tianrong Chen, Guan-Horng Liu, Molei Tao, Evangelos Theodorou p42898-42917 from Advances in Neural Information Processing Systems 36

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Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

Benjamin Eysenbach, Alexander Khazatsky, Sergey Levine, Russ Salakhutdinov p23230-23243 from Advances in Neural Information Processing Systems 35

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MiSO: Optimizing brain stimulation to create neural activity states

Yuki Minai, Matthew Smith, Joana Soldado-Magraner, Byron Yu p24126-24149 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

Howard Bondell, Erdun Gao, Mingming Gong, Wei Huang, Tongliang Liu, Ignavier Ng, Li Shen, Kun Zhang p5024-5038 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

José Miguel Hernández-Lobato, Chao Ma, Ignacio Peis p35839-35851 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

Julia Kempe, Jingtong Su, Karen Ullrich p38267-38306 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Misspecified Phase Retrieval with Generative Priors

Jiulong Liu, Zhaoqiang Liu, Xinshao Wang p5109-5123 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor

Shaokui Wei, Baoyuan Wu, Hongyuan Zha p80674-80705 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks

R. Babu, Abhipsa Basu, Saswat Mallick p106411-106439 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction

HyeongJoo Hwang, Kee-Eung Kim, Byung-Jun Lee, Jongmin Lee, Seokin Seo, Hongseok Yang p109177-109201 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Object Hallucination via Concentric Causal Attention

Ivan Laptev, Yiheng Li, Shijian Lu, Yun Xing p92012-92035 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals

Richard Baraniuk, Tam Nguyen, Tan Nguyen p80233-80256 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy

Cameron Allen, Omer Gottesman, Aaron Kirtland, George Konidaris, Michael Littman, Sam Lobel, Ronald Parr, Nicholas Petrocelli, Daniel Scott, Ruo Yu Tao p62988-63028 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation

Yang Liu, Wei Shen, Jean-François Ton, Hongning Wang, Xiaoying Zhang p81717-81747 from Advances in Neural Information Processing Systems 37

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Mitigating Source Bias for Fairer Weak Supervision

Dyah Adila, Sonia Cromp, Frederic Sala, Changho Shin p33564-33605 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Spurious Correlations via Disagreement Probability

Hyeonggeun Han, Sangwoo Hong, Hyungjun Joo, Sehwan Kim, Jungwoo Lee p74363-74382 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating Test-Time Bias for Fair Image Retrieval

Weituo Hao, Ricardo Henao, Fanjie Kong, Shuai Yuan p71520-71539 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating the Effect of Incidental Correlations on Part-based Learning

Gaurav Bhatt, Deepayan Das, Vineeth N Balasubramanian, Leonid Sigal p63738-63757 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective

Yankai Chen, Irwin King, Piotr Koniusz, Zixing Song, Yifei Zhang, Hao Zhu p67533-67550 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mix and Reason: Reasoning Over Semantic Topology with Data Mixing for Domain Generalization

Chaoqi Chen, Yue Huang, Feng Liu, Luyao Tang, Yizhou Yu, Gangming Zhao p33302-33315 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

Shuning Chang, Yunpeng Chen, Zihan Fan, Yixiao Ge, Yuchao Gu, Ying Shan, Yujun Shi, Mike Zheng Shou, Xintao Wang, Jay Zhangjie Wu, Weijia Wu, Wuyou Xiao, Rui Zhao p15890-15902 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Mirror and Preconditioned Gradient Descent in Wasserstein Space

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently

Mirror Descent with Relative Smoothness in Measure Spaces, with Application to Sinkhorn and EM

Mirror Diffusion Models for Constrained and Watermarked Generation

Mismatched No More: Joint Model-Policy Optimization for Model-Based RL

MiSO: Optimizing brain stimulation to create neural activity states

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo

Mission Impossible: A Statistical Perspective on Jailbreaking LLMs

Misspecified Phase Retrieval with Generative Priors

Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor

Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks

Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction

Mitigating Object Hallucination via Concentric Causal Attention

Mitigating Over-smoothing in Transformers via Regularized Nonlocal Functionals

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy

Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation

Mitigating Source Bias for Fairer Weak Supervision

Mitigating Spurious Correlations via Disagreement Probability

Mitigating Test-Time Bias for Fair Image Retrieval

Mitigating the Effect of Incidental Correlations on Part-based Learning

Mitigating the Popularity Bias of Graph Collaborative Filtering: A Dimensional Collapse Perspective

Mix and Reason: Reasoning Over Semantic Topology with Data Mixing for Domain Generalization

Mix-of-Show: Decentralized Low-Rank Adaptation for Multi-Concept Customization of Diffusion Models

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