Annealed Training for Combinatorial Optimization on Graphs. - Haoran Sun; Etash Kumar Guha; Hanjun Dai (CoRR, 2022)

On Accelerated Perceptrons and Beyond. - Guanghui Wang; Rafael Hanashiro; Etash Kumar Guha; Jacob D. Abernethy (ICLR, 2023)

Conformalization of Sparse Generalized Linear Models. - Etash Kumar Guha; Eugène Ndiaye; Xiaoming Huo (ICML, 2023)

Generalization Bounds for Magnitude-Based Pruning via Sparse Matrix Sketching. - Etash Kumar Guha; Prasanjit Dubey; Xiaoming Huo (CoRR, 2023)

Solving Robust MDPs through No-Regret Dynamics. - Etash Kumar Guha; Jason D. Lee (CoRR, 2023)

Conformal Prediction via Regression-as-Classification. - Etash Kumar Guha; Shlok Natarajan; Thomas Möllenhoff; Mohammad Emtiyaz Khan; Eugène Ndiaye (ICLR, 2024)

On the Diminishing Returns of Width for Continual Learning. - Etash Kumar Guha; Vihan Lakshman (ICML, 2024)

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. - Anas Awadalla; Le Xue; Oscar Lo; Manli Shu; Hannah Lee; Etash Kumar Guha; Sheng Shen 001; Mohamed Awadalla; Silvio Savarese; Caiming Xiong; Ran Xu 001; Yejin Choi 001; et al. (NeurIPS, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. - Anas Awadalla; Le Xue; Oscar Lo; Manli Shu; Hannah Lee; Etash Kumar Guha; Matt Jordan; Sheng Shen 001; Mohamed Awadalla; Silvio Savarese; Caiming Xiong; Ran Xu 001; et al. (CoRR, 2024)

Archon: An Architecture Search Framework for Inference-Time Techniques. - Jon Saad-Falcon; Adrian Gamarra Lafuente; Shlok Natarajan; Nahum Maru; Hristo Todorov; Etash Kumar Guha; Estefany Kelly Buchanan; Mayee F. Chen; Neel Guha; Christopher Ré; Azalia Mirhoseini (CoRR, 2024)

BLIP3-KALE: Knowledge Augmented Large-Scale Dense Captions. - Anas Awadalla; Le Xue; Manli Shu; An Yan; Jun Wang 090; Senthil Purushwalkam; Sheng Shen 001; Hannah Lee; Oscar Lo; Jae Sung Park; Etash Kumar Guha; Silvio Savarese; et al. (CoRR, 2024)

Solving Robust MDPs through No-Regret Dynamics. - Etash Kumar Guha (Trans. Mach. Learn. Res., 2024)

Synthetic Document Question Answering in Hungarian. - Jonathan Li 009; Zoltan Csaki; Nidhi Hiremath; Etash Kumar Guha; Fenglu Hong; Edward Ma; Urmish Thakker (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)