publications

A complete publication list is also available on Google Scholar.

2026

EFE Figure from Evolutionary Feature Engineering for Structured Data
NEURIPS 2026
Evolutionary Feature Engineering for Structured Data
Ege Onur Taga, Yilin Zhuang, M. Emrullah Ildiz, Petros Mol, Abhimanyu Das, Karthik Duraisamy, Samet Oymak
paper · code
EMO Figure from Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
PREPRINT 2026
Evolutionary Multi-Task Optimization for LLM-Guided Program Discovery
Halil Alperen Gozeten, Xuechen Zhang, M. Emrullah Ildiz, Ege Onur Taga, Tara Javidi, Samet Oymak
paper · code
CAL-GRPO Figure from Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought
ICML 2026
Learning to Correct: Calibrated Reinforcement Learning for Multi-Attempt Chain-of-Thought
M. Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Samet Oymak
paper · code
Learning to Bet Figure from Learning to Bet for Horizon-Aware Anytime-Valid Testing
ICML 2026
Learning to Bet for Horizon-Aware Anytime-Valid Testing
Ege Onur Taga, Samet Oymak, Shubhanshu Shekhar
paper · code
Time2Decide Figure from Covariance-Aware Transformers for Quadratic Programming and Decision Making
COLM 2026
Covariance-Aware Transformers for Quadratic Programming and Decision Making
Kutay Tire, Yufan Zhang, Ege Onur Taga, Samet Oymak
paper
FAF FAF pipeline: a randomly sampled batch is augmented, then sorted by reducible loss between target and reference models to select which series update each model
AISTATS 2026
Filter, Augment, Forecast: Online Data Selection for Robust Time Series Forecasting
Ege Onur Taga, Halil Alperen Gozeten, Kutay Tire, Rahul Dalvi, Reinhard Heckel, Samet Oymak
paper · code
Retrieval TSF Figure from Retrieval Augmented Time Series Forecasting
AISTATS 2026
Retrieval Augmented Time Series Forecasting
Kutay Tire*, Ege Onur Taga*, M. Emrullah Ildiz, Samet Oymak
* Equal contribution.
paper · code

2025

TimePFN TimePFN architecture: convolutional filtering of multivariate series into patch and positional embeddings, encoded by a transformer to produce forecasts
AAAI 2025
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data
Ege Onur Taga, M. Emrullah Ildiz, Samet Oymak
Also appeared in NeurIPS TSALM Workshop as Spotlight.
paper · code
Knowledge Distillation Figure from High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
ICLR 2025 SPOTLIGHT
High-dimensional Analysis of Knowledge Distillation: Weak-to-Strong Generalization and Scaling Laws
M. Emrullah Ildiz, Halil Alperen Gozeten, Ege Onur Taga, Marco Mondelli, Samet Oymak
paper

2024

LLM Cascades Budget-constrained RL policy that routes questions through a cascade of LLMs and prompts, choosing to return, re-query, or escalate based on response consistency and remaining budget
NEURIPS 2024
Efficient Contextual LLM Cascades through Budget-Constrained Policy Learning
Xuechen Zhang, Zijian Huang, Ege Onur Taga, Carlee Joe-Wong, Samet Oymak, Jiasi Chen
paper
Algorithmic Oversight Evaluation pipeline: deceptive agents answer questions with and without ground truth alongside a cooperative agent, and GPT-4 compares each response against the ground truth to label answers truly deceptive or truly solved
NEURIPS 2024 WORKSHOP
Algorithmic Oversight for Deceptive Reasoning
Ege Onur Taga, Mingchen Li, Yongqi Chen, Samet Oymak
paper