PaperHub

Bryan Kian Hsiang Low

~Bryan_Kian_Hsiang_Low1

36
论文总数
18.0
年均投稿
5.6
平均评分
接收情况23/36
会议分布
ICLR
25
NeurIPS
7
ICML
3
COLM
1

发表论文 (36 篇)

202517 篇

3.0
4

Global-to-Local Support Spectrums for Model Explainability

ICLR 2025Rejected
5.4
5

BILBO: BILevel Bayesian Optimization

ICLR 2025Rejected
5.5
4

BILBO: BILevel Bayesian Optimization

ICML 2025Poster
5.3
4

Data Value Estimation on Private Gradients

ICLR 2025Rejected
4.7
3

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models

ICLR 2025withdrawn
6.3
3

Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models

ICML 2025Poster
6.8
4

Efficient Top-m Data Values Identification for Data Selection

ICLR 2025Poster
7.3
3

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space

ICLR 2025Spotlight
7.0
4

PIED: Physics-Informed Experimental Design for Inverse Problems

ICLR 2025Poster
6.0
4

Group-robust Sample Reweighting for Subpopulation Shifts via Influence Functions

ICLR 2025Poster
3.7
3

Achieving Exact Federated Unlearning with Improved Post-Unlearning Performance

ICLR 2025Rejected
6.3
4

Neural Dueling Bandits: Preference-Based Optimization with Human Feedback

ICLR 2025Poster
4.6
5

Prompt Optimization with Human Feedback

ICLR 2025Rejected
7.2
4

NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric

ICML 2025Poster
7.0
4

ReasonIR: Training Retrievers for Reasoning Tasks

COLM 2025Poster
6.4
4

Incentivizing Time-Aware Fairness in Data Sharing

NeurIPS 2025Poster
5.4
5

Source Attribution for Large Language Model-Generated Data

ICLR 2025Rejected

202419 篇

4.8
4

Understanding Domain Generalization: A Noise Robustness Perspective

ICLR 2024Poster
6.7
3

Meta-VBO: Utilizing Prior Tasks in Optimizing Risk Measures with Gaussian Processes

ICLR 2024Poster
5.5
4

Gradient-Free Methods for Nonconvex Nonsmooth Stochastic Compositional Optimization

NeurIPS 2024Poster
5.0
4

Incentive-Aware Federated Learning with Training-Time Model Rewards

ICLR 2024Poster
5.5
4

Active Set Ordering

NeurIPS 2024Poster
3.7
3

Federated Zeroth-Order Optimization using Trajectory-Informed Surrogate Gradients

ICLR 2024Rejected
4.4
5

Hessian-Aware Bayesian Optimization for Decision Making Systems

ICLR 2024Rejected
7.5
4

PINNACLE: PINN Adaptive ColLocation and Experimental points selection

ICLR 2024Spotlight
6.8
4

Optimistic Bayesian Optimization with Unknown Constraints

ICLR 2024Poster
5.3
3

Robustifying and Boosting Training-Free Neural Architecture Search

ICLR 2024Poster
6.3
3

Data Distribution Valuation

NeurIPS 2024Poster
3.0
3

Data Distribution Valuation with Incentive Compatibility

ICLR 2024Rejected
6.0
4

Incentivized Black-Box Model Sharing

ICLR 2024Rejected
6.0
4

A Unified Framework for Bayesian Optimization under Contextual Uncertainty

ICLR 2024Poster
6.5
4

DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning

NeurIPS 2024Poster
5.5
4

WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data

ICLR 2024Rejected
5.5
4

Use Your INSTINCT: INSTruction optimization usIng Neural bandits Coupled with Transformers

ICLR 2024Rejected
6.0
4

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars

NeurIPS 2024Poster
5.5
4

Localized Zeroth-Order Prompt Optimization

NeurIPS 2024Spotlight
合作者 (20)