Most Cited ICML "3d shape reconstruction" Papers
5,975 papers found • Page 30 of 30
Conference
Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints
Hengquan Guo, Lingkai Zu, Xin Liu
Provable and Practical Online Learning Rate Adaptation with Hypergradient Descent
Ya-Chi Chu, Wenzhi Gao, Yinyu Ye et al.
DMM: Distributed Matrix Mechanism for Differentially-Private Federated Learning Based on Constant-Overhead Linear Secret Resharing
Alexander Bienstock, Ujjwal Kumar, Antigoni Polychroniadou
Reinforced Learning Explicit Circuit Representations for Quantum State Characterization from Local Measurements
Manwen Liao, Yan Zhu, Weitian Zhang et al.
Hypothesis Testing for Generalized Thurstone Models
Anuran Makur, Japneet Singh
Synthesizing Software Engineering Data in a Test-Driven Manner
Lei Zhang, Jiaxi Yang, Min Yang et al.
Channel Normalization for Time Series Channel Identification
Seunghan Lee, Taeyoung Park, Kibok Lee
Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
Dapeng Jiang, Xiangzhe Kong, Jiaqi Han et al.
RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation
Xinnuo Xu, Rachel Lawrence, Kshitij Dubey et al.
Evolving Minds: Logic-Informed Inference from Temporal Action Patterns
Chao Yang, Shuting Cui, Yang Yang et al.
Star Attention: Efficient LLM Inference over Long Sequences
Shantanu Acharya, Fei Jia, Boris Ginsburg
Hidden No More: Attacking and Defending Private Third-Party LLM Inference
Rahul Thomas, Louai Zahran, Erica Choi et al.
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Haoran Luo, Haihong E, Yikai Guo et al.
AAAR-1.0: Assessing AI’s Potential to Assist Research
Renze Lou, Hanzi Xu, Sijia Wang et al.
An Efficient Search-and-Score Algorithm for Ancestral Graphs using Multivariate Information Scores for Complex Non-linear and Categorical Data
Nikita Lagrange, Herve Isambert
ResKoopNet: Learning Koopman Representations for Complex Dynamics with Spectral Residuals
Yuanchao Xu, Kaidi Shao, Nikos Logothetis et al.
A Rescaling-Invariant Lipschitz Bound Based on Path-Metrics for Modern ReLU Network Parameterizations
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti et al.
Learning Latent Graph Structures and their Uncertainty
Alessandro Manenti, Daniele Zambon, Cesare Alippi
Adapting Precomputed Features for Efficient Graph Condensation
Yuan Li, Jun Hu, Zemin Liu et al.
TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization
Songtao Lu
One-Step Generalization Ratio Guided Optimization for Domain Generalization
Sumin Cho, Dongwon Kim, Kwangsu Kim
Trusted Multi-View Classification with Expert Knowledge Constraints
Xinyan Liang, Shijie Wang, Yuhua Qian et al.
Sleeping Reinforcement Learning
Simone Drago, Marco Mussi, Alberto Maria Metelli
Super Deep Contrastive Information Bottleneck for Multi-modal Clustering
Zhengzheng Lou, Ke Zhang, Yucong Wu et al.
Self-Consuming Generative Models with Adversarially Curated Data
Xiukun Wei, Xueru Zhang
Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
Kaiyu Guo, Zijian Wang, Tan Pan et al.
OmniArch: Building Foundation Model for Scientific Computing
Tianyu Chen, Haoyi Zhou, Ying Li et al.
Expressive Score-Based Priors for Distribution Matching with Geometry-Preserving Regularization
Ziyu Gong, Jim Lim, David I. Inouye
PF3plat: Pose-Free Feed-Forward 3D Gaussian Splatting for Novel View Synthesis
Sunghwan Hong, Jaewoo Jung, Heeseong Shin et al.
AdaDecode: Accelerating LLM Decoding with Adaptive Layer Parallelism
Zhepei Wei, Wei-Lin Chen, Xinyu Zhu et al.
Computing Optimal Transport Maps and Wasserstein Barycenters Using Conditional Normalizing Flows
Gabriele Visentin, Patrick Cheridito
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
Shuqi Lu, Xiaohong Ji, Bohang Zhang et al.
Retrieval-Augmented Perception: High-resolution Image Perception Meets Visual RAG
Wenbin Wang, Yongcheng Jing, Liang Ding et al.
A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
Junwei Su, Chuan Wu
K$^2$IE: Kernel Method-based Kernel Intensity Estimators for Inhomogeneous Poisson Processes
Hideaki Kim, Tomoharu Iwata, Akinori Fujino
Large Continual Instruction Assistant
Jingyang Qiao, zhizhong zhang, Xin Tan et al.
Bayesian Neural Scaling Law Extrapolation with Prior-Data Fitted Networks
Dongwoo Lee, Dong Bok Lee, Steven Adriaensen et al.
Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks
Sungwon Kim, Namkyeong Lee, Yunyoung Doh et al.
Symmetric Reinforcement Learning Loss for Robust Learning on Diverse Tasks and Model Scales
Ju-Seung Byun, Andrew Perrault
Flow-field inference from neural data using deep recurrent networks
Timothy Doyeon Kim, Thomas Luo, Tankut Can et al.
Stochastic Smoothed Primal-Dual Algorithms for Nonconvex Optimization with Linear Inequality Constraints
Ruichuan Huang, Jiawei Zhang, Ahmet Alacaoglu
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation
Juncheol Shin, Minsang Seok, Seonggon Kim et al.
Training Dynamics of In-Context Learning in Linear Attention
Yedi Zhang, Aaditya Singh, Peter Latham et al.
STAIR: Improving Safety Alignment with Introspective Reasoning
Yichi Zhang, Siyuan Zhang, Yao Huang et al.
Gradual Transition from Bellman Optimality Operator to Bellman Operator in Online Reinforcement Learning
Motoki Omura, Kazuki Ota, Takayuki Osa et al.
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han, Mengmi Zhang
Calibrating Video Watch-time Predictions with Credible Prototype Alignment
Chao, Shisong Tang, Fan Li et al.
Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks
Jincheng Huang, Yujie Mo, Xiaoshuang Shi et al.
ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck
Zheng Zhou, Wenquan Feng, Qiaosheng Zhang et al.
Compositional Risk Minimization
Divyat Mahajan, Mohammad Pezeshki, Charles Arnal et al.
The Price of Linear Time: Error Analysis of Structured Kernel Interpolation
Alexander Moreno, Justin Xiao, Jonathan Mei
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
Kihyuk Hong, Ambuj Tewari
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
Yuan Xin, Dingfan Chen, Michael Backes et al.
HyperIV: Real-time Implied Volatility Smoothing
Yongxin Yang, Wenqi Chen, Chao Shu et al.
Textual Unlearning Gives a False Sense of Unlearning
Jiacheng Du, Zhibo Wang, Jie Zhang et al.
The Sparse-Plus-Low-Rank Quasi-Newton Method for Entropic-Regularized Optimal Transport
Chenrui Wang, Yixuan Qiu
SECOND: Mitigating Perceptual Hallucination in Vision-Language Models via Selective and Contrastive Decoding
Woohyeon Park, Woojin Kim, Jaeik Kim et al.
Understanding the Skill Gap in Recurrent Language Models: The Role of the Gather-and-Aggregate Mechanism
Aviv Bick, Eric Xing, Albert Gu
Knowledge Retention in Continual Model-Based Reinforcement Learning
Haotian Fu, Yixiang Sun, Michael L. Littman et al.
Ranked from Within: Ranking Large Multimodal Models Without Labels
Weijie Tu, Weijian Deng, Dylan Campbell et al.
Improved Approximations for Hard Graph Problems using Predictions
Anders Aamand, Justin Chen, Siddharth Gollapudi et al.
Breaking the $n^{1.5}$ Additive Error Barrier for Private and Efficient Graph Sparsification via Private Expander Decomposition
Anders Aamand, Justin Chen, Mina Dalirrooyfard et al.
Adversarial Combinatorial Semi-bandits with Graph Feedback
Yuxiao Wen
Mixture of Experts Provably Detect and Learn the Latent Cluster Structure in Gradient-Based Learning
Ryotaro Kawata, Kohsei Matsutani, Yuri Kinoshita et al.
On the Role of Label Noise in the Feature Learning Process
Andi Han, Wei Huang, Zhanpeng Zhou et al.
EgoPrivacy: What Your First-Person Camera Says About You?
Yijiang Li, Genpei Zhang, Jiacheng Cheng et al.
Improved Discretization Complexity Analysis of Consistency Models: Variance Exploding Forward Process and Decay Discretization Scheme
Ruofeng Yang, Bo Jiang, Cheng Chen et al.
Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
Kejia Chen, Jiawen Zhang, Jiacong Hu et al.
Near-optimal Sketchy Natural Gradients for Physics-Informed Neural Networks
Maricela Best Mckay, Avleen Kaur, Chen Greif et al.
Neural Event-Triggered Control with Optimal Scheduling
Luan Yang, Jingdong Zhang, Qunxi Zhu et al.
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
Nguyen Nhat Minh To, Paul Wilson, Viet Nguyen et al.
GraphGPT: Generative Pre-trained Graph Eulerian Transformer
Qifang Zhao, Weidong Ren, Tianyu Li et al.
Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images
Yan Zhong, Chenxi Yang, Suyuan Zhao et al.
Analytical Construction on Geometric Architectures: Transitioning from Static to Temporal Link Prediction
Yadong Sun, Xiaofeng Cao, Ivor Tsang et al.
Complete-Tree Space Favors Data-Efficient Link Prediction
Chi Gao, Lukai Li, Yancheng Zhou et al.
DLP: Dynamic Layerwise Pruning in Large Language Models
Yuli Chen, Bo Cheng, Jiale Han et al.
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Artavazd Maranjyan, El Mehdi Saad, Peter Richtarik et al.
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation
CHUANQI CHENG, Jian Guan, Wei Wu et al.
E-LDA: Toward Interpretable LDA Topic Models with Strong Guarantees in Logarithmic Parallel Time
Adam Breuer
Learning to Reuse Policies in State Evolvable Environments
Ziqian Zhang, Bohan Yang, Lihe Li et al.
Balancing Model Efficiency and Performance: Adaptive Pruner for Long-tailed Data
Zhe Zhao, HaiBin Wen, Pengkun Wang et al.
Mutual Learning for SAM Adaptation: A Dual Collaborative Network Framework for Source-Free Domain Transfer
Yabo Liu, Waikeung Wong, Chengliang Liu et al.
Iterative Vectors: In-Context Gradient Steering without Backpropagation
Yiting Liu, Zhi-Hong Deng
KoopSTD: Reliable Similarity Analysis between Dynamical Systems via Approximating Koopman Spectrum with Timescale Decoupling
Shimin Zhang, Ziyuan Ye, Yinsong Yan et al.
Interchangeable Token Embeddings for Extendable Vocabulary and Alpha-Equivalence
İlker Işık, Ramazan Gokberk Cinbis, Ebru Gol
In-Context Linear Regression Demystified: Training Dynamics and Mechanistic Interpretability of Multi-Head Softmax Attention
Jianliang He, Xintian Pan, Siyu Chen et al.
Do We Need to Verify Step by Step? Rethinking Process Supervision from a Theoretical Perspective
Zeyu Jia, Alexander Rakhlin, Tengyang Xie
SLiM: One-shot Quantization and Sparsity with Low-rank Approximation for LLM Weight Compression
Mohammad Mozaffari, Amir Yazdanbakhsh, Maryam Mehri Dehnavi
Compositional Flows for 3D Molecule and Synthesis Pathway Co-design
Tony Shen, Seonghwan Seo, Ross Irwin et al.
What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities
Wendong Bu, Yang Wu, Qifan Yu et al.
CoPINN: Cognitive Physics-Informed Neural Networks
Siyuan Duan, Wenyuan Wu, Peng Hu et al.
Adversarial Robust Generalization of Graph Neural Networks
Chang Cao, Han Li, Yulong Wang et al.
Hierarchical Overlapping Clustering on Graphs: Cost Function, Algorithm and Scalability
Yicheng Pan, Renjie Chen, Pengyu Long et al.
Compelling ReLU Networks to Exhibit Exponentially Many Linear Regions at Initialization and During Training
Max Milkert, David Hyde, Forrest Laine
Improving Your Model Ranking on Chatbot Arena by Vote Rigging
Rui Min, Tianyu Pang, Chao Du et al.
EGPlace: An Efficient Macro Placement Method via Evolutionary Search with Greedy Repositioning Guided Mutation
ji deng, Zhao Li, Ji Zhang et al.
Pruning for GNNs: Lower Complexity with Comparable Expressiveness
Dun Ma, Jianguo Chen, Wenguo Yang et al.
Multinoulli Extension: A Lossless Yet Effective Probabilistic Framework for Subset Selection over Partition Constraints
Qixin Zhang, Wei Huang, Can Jin et al.
Self-supervised Masked Graph Autoencoder via Structure-aware Curriculum
Haoyang Li, Xin Wang, Zeyang Zhang et al.
Mask-Enhanced Autoregressive Prediction: Pay Less Attention to Learn More
Xialie Zhuang, Zhikai Jia, Jianjin Li et al.
CSV-Occ: Fusing Multi-frame Alignment for Occupancy Prediction with Temporal Cross State Space Model and Central Voting Mechanism
Ziming Zhu, Yu Zhu, Jiahao Chen et al.
Weisfeiler and Leman Go Gambling: Why Expressive Lottery Tickets Win
Lorenz Kummer, Samir Moustafa, Anatol Ehrlich et al.
Event-Customized Image Generation
Zhen Wang, Yilei JIANG, Dong Zheng et al.
HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion
Mengting Ma, Yizhen Jiang, Mengjiao Zhao et al.
Maximum Total Correlation Reinforcement Learning
Bang You, Puze Liu, Huaping Liu et al.
Nesterov Method for Asynchronous Pipeline Parallel Optimization
Thalaiyasingam Ajanthan, Sameera Ramasinghe, Yan Zuo et al.
MaskTwins: Dual-form Complementary Masking for Domain-Adaptive Image Segmentation
Jiawen Wang, Yinda Chen, Xiaoyu Liu et al.
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
Andi Han, Pierre-Louis Poirion, Akiko Takeda
One-dimensional Path Convolution
Xuanshu Luo, Martin Werner
RLTHF: Targeted Human Feedback for LLM Alignment
Yifei Xu, Tusher Chakraborty, Emre Kiciman et al.
DyPolySeg: Taylor Series-Inspired Dynamic Polynomial Fitting Network for Few-shot Point Cloud Semantic Segmentation
Changshuo Wang, Xiang Fang, Prayag Tiwari
Safety Reasoning with Guidelines
Haoyu Wang, Zeyu Qin, Li Shen et al.
Heterogeneous Label Shift: Theory and Algorithm
Chao Xu, Xijia Tang, Chenping Hou
TLLC: Transfer Learning-based Label Completion for Crowdsourcing
Wenjun Zhang, Liangxiao Jiang, Chaoqun Li
A Online Statistical Framework for Out-of-Distribution Detection
Xinsong Ma, Xin Zou, Weiwei Liu
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
Yuecheng Li, Lele Fu, Tong Wang et al.
Learning Utilities from Demonstrations in Markov Decision Processes
Filippo Lazzati, Alberto Maria Metelli
Learning Input Encodings for Kernel-Optimal Implicit Neural Representations
Zhemin Li, Liyuan Ma, Hongxia Wang et al.
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
Qi Wang, Yuan Mi, Wang Haoyun et al.
Transfer Q-Learning with Composite MDP Structures
Jinhang Chai, Elynn Chen, Lin Yang
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng et al.
The Complexity of Learning Sparse Superposed Features with Feedback
Akash Kumar
Sidechain conditioning and modeling for full-atom protein sequence design with FAMPNN
Talal Widatalla, Richard Shuai, Brian Hie et al.
Bifurcate then Alienate: Incomplete Multi-view Clustering via Coupled Distribution Learning with Linear Overhead
Shengju Yu, Yiu-ming Cheung, Siwei Wang et al.
Core Knowledge Deficits in Multi-Modal Language Models
Yijiang Li, Qingying Gao, Tianwei Zhao et al.
Identifying Causal Direction via Variational Bayesian Compression
Quang-Duy Tran, Bao Duong, Phuoc Nguyen et al.
Pfeife: Automatic Pipeline Parallelism for PyTorch
Ho Young Jhoo, Chung-Kil Hur, Nuno P. Lopes
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity
Mustafa Burak Gurbuz, Xingyu Zheng, Constantine Dovrolis
Trajectory Inference with Smooth Schrödinger Bridges
Wanli Hong, Yuliang Shi, Jonathan Niles-Weed
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models
Chao Li, Jiawei Fan, Anbang Yao
Adaptive Multi-prompt Contrastive Network for Few-shot Out-of-distribution Detection
Xiang Fang, Arvind Easwaran, Blaise Genest
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
Fengqiang Wan, Yang Yang
False Coverage Proportion Control for Conformal Prediction
Alexandre Blain, Thirion Bertrand, Pierre Neuvial
Multiobjective distribution matching
Xiaoyuan Zhang, Peijie Li, Ying Ying YU et al.
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
Joseph Lazzaro, Ciara Pike-Burke
ReFrame: Layer Caching for Accelerated Inference in Real-Time Rendering
Lufei Liu, Tor Aamodt
UniMC: Taming Diffusion Transformer for Unified Keypoint-Guided Multi-Class Image Generation
Qin Guo, Ailing Zeng, Dongxu Yue et al.
FlipAttack: Jailbreak LLMs via Flipping
Yue Liu, Xiaoxin He, Miao Xiong et al.
AdvI2I: Adversarial Image Attack on Image-to-Image Diffusion Models
Yaopei Zeng, Yuanpu Cao, Bochuan Cao et al.
Bi-perspective Splitting Defense: Achieving Clean-Seed-Free Backdoor Security
Yangyang Shen, Xiao Tan, Dian Shen et al.
Step-DAD: Semi-Amortized Policy-Based Bayesian Experimental Design
Marcel Hedman, Desi Ivanova, Cong Guan et al.
Spherical-Nested Diffusion Model for Panoramic Image Outpainting
Xiancheng Sun, Senmao Ma, Shengxi Li et al.
CSTrack: Enhancing RGB-X Tracking via Compact Spatiotemporal Features
xiaokun Feng, Dailing Zhang, Shiyu Hu et al.
FlowAR: Scale-wise Autoregressive Image Generation Meets Flow Matching
Sucheng Ren, Qihang Yu, Ju He et al.
IntLoRA: Integral Low-rank Adaptation of Quantized Diffusion Models
Hang Guo, Yawei Li, Tao Dai et al.
XAttention: Block Sparse Attention with Antidiagonal Scoring
Ruyi Xu, Guangxuan Xiao, Haofeng Huang et al.
Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning
Ngoc Bui, Menglin Yang, Runjin Chen et al.
Subgoal-Guided Policy Heuristic Search with Learned Subgoals
Jake Tuero, Michael Buro, Levi Lelis
Flexible and Efficient Grammar-Constrained Decoding
Kanghee Park, Timothy Zhou, Loris D'Antoni
On the Diversity of Adversarial Ensemble Learning
Jun-Qi Guo, Meng-Zhang Qian, Wei Gao et al.
Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based Approach
Yang Xu, Vaneet Aggarwal
Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study
Shelvia Wongso, Rohan Ghosh, Mehul Motani
Policy Guided Tree Search for Enhanced LLM Reasoning
Yang Li
CogReact: A Reinforced Framework to Model Human Cognitive Reaction Modulated by Dynamic Intervention
Songlin Xu, Xinyu Zhang
Sparse Spectral Training and Inference on Euclidean and Hyperbolic Neural Networks
Jialin Zhao, Yingtao Zhang, Xinghang Li et al.
When Model Knowledge meets Diffusion Model: Diffusion-assisted Data-free Image Synthesis with Alignment of Domain and Class
Yujin Kim, Hyunsoo Kim, Hyunwoo Kim et al.
$\mathcal{V}ista\mathcal{DPO}$: Video Hierarchical Spatial-Temporal Direct Preference Optimization for Large Video Models
Haojian Huang, Haodong Chen, Shengqiong Wu et al.
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection
Karish Grover, Geoff Gordon, Christos Faloutsos
Local Identifying Causal Relations in the Presence of Latent Variables
Zheng Li, Zeyu Liu, Feng Xie et al.
From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection
Lincan Cai, Jingxuan Kang, Shuang Li et al.
How Much Can We Forget about Data Contamination?
Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko et al.
De-coupled NeuroGF for Shortest Path Distance Approximations on Large Terrain Graphs
Samantha Chen, Pankaj Agarwal, Yusu Wang
Human Cognition-Inspired Hierarchical Fuzzy Learning Machine
Junbiao Cui, Qin Yue, Jianqing Liang et al.
SynEVO: A neuro-inspired spatiotemporal evolutional framework for cross-domain adaptation
jiayue Liu, Zhongchao Yi, Zhengyang Zhou et al.
RollingQ: Reviving the Cooperation Dynamics in Multimodal Transformer
Haotian Ni, Yake Wei, Hang Liu et al.
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Sihui Dai, Christian Cianfarani, Vikash Sehwag et al.
Instruct2See: Learning to Remove Any Obstructions Across Distributions
Junhang Li, Yu Guo, Xian et al.
Dual Feature Reduction for the Sparse-group Lasso and its Adaptive Variant
Fabio Feser, Marina Evangelou
Breaking the Barrier of Hard Samples: A Data-Centric Approach to Synthetic Data for Medical Tasks
Maynara de Souza, Cleber Zanchettin
Does Graph Prompt Work? A Data Operation Perspective with Theoretical Analysis
Qunzhong WANG, Xiangguo Sun, Hong Cheng
Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces
Henry Moss, Sebastian Ober, Tom Diethe
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation
Roie Reshef, Kfir Levy
Maximizing Intermediate Checkpoint Value in LLM Pretraining with Bayesian Optimization
Deyuan Liu, Zecheng Wang, Bingning Wang et al.
BSO: Binary Spiking Online Optimization Algorithm
Yu Liang, Yu Yang, Wenjie Wei et al.
Beyond The Rainbow: High Performance Deep Reinforcement Learning on a Desktop PC
Tyler Clark, Mark Towers, Christine Evers et al.