conftrace_

Ignacio Hounie

5 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ICML (2) AISTATS (1) CoRL (1) NeurIPS (1)

Top co-authors

Alejandro Ribeiro (5) Luiz F. O. Chamon (2) George J. Pappas (1) Juan Elenter (1) Vijay Kumar (1) Javier Porras-Valenzuela (1) Simon Lacoste-Julien (1) Meraj Hashemizadeh (1) Zachary Ravichandran (1) Fernando Cladera (1)

Research topics

Machine Learning (5) Optimization & Theory (4) Artificial Intelligence (2) Application Areas (2) Core AI (2) Learning Types (2) Deep Learning (1) Architectures (1) Core Methods (1)

Keywords

federated learning (1) data augmentation (1) preference optimization (1) composite optimization (1) constrained optimization (1) markov chain monte carlo (1) empirical risk minimization (1) primal-dual algorithm (1) primal-dual method (1) language model (1) duality gap (1) symmetry learning (1) error distribution (1) synthetic dataset (1) lagrangian duality (1) tail behavior (1) monte carlo markov chain (1) invariance constrained learning (1) feasibility problem (1) forecasting (1)

Papers

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention CoRL 2025 Feasible Learning AISTATS 2025 Loss Shaping Constraints for Long-Term Time Series Forecasting ICML 2024 Automatic Data Augmentation via Invariance-Constrained Learning ICML 2023 Resilient Constrained Learning NeurIPS 2023