conftrace_

Hao Ban

4 papers · 2023–2025 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze

Venues

ICCV (1) ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Kaiyi Ji (4) Peiyao Xiao (1) Yifan Yang (1) Gokul Ram Subramani (1) Shiqian Ma (1) Minhui Huang (1)

Research topics

Machine Learning (4) Optimization & Theory · Machine Learning (4) Artificial Intelligence (1) Deep Learning (1) Mathematics & Optimization (1) Learning Paradigms (1) Learning Types (1) Optimization (1) Optimization & Theory · Deep Learning (1) Techniques (1)

Keywords

multi-task learning (3) gradient descent (2) sharpness-aware minimization (1) neural network optimization (1) loss landscape (1) gradient optimization (1) bilevel optimization (1) multi-objective optimization (1) convergence guarantee (1) adaptive step size (1) utility maximization (1) gradient manipulation (1) task conflict (1) fair resource allocation (1) pareto stationary point (1) d-tfbo (1) s-tfbo (1) tuning-free algorithms (1) stochastic optimization (1) alpha-fairness (1)

Papers

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis ICLR 2025 Fair Resource Allocation in Multi-Task Learning ICML 2024 Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms NeurIPS 2023