Smola, Alex

27 publications

NeurIPS 2025 EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi, Mu Li, Alex Smola

ICLR 2025 L3Ms — Lagrange Large Language Models Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola

TMLR 2024 Multimodal Chain-of-Thought Reasoning in Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola

ICLR 2024 Time-Varying Propensity Score to Bridge the Gap Between the past and Present Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola

ICLR 2023 Automatic Chain of Thought Prompting in Large Language Models Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola

ICLR 2023 Parameter-Efficient Fine-Tuning Design Spaces Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang

ICML 2023 RLSbench: Domain Adaptation Under Relaxed Label Shift Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton

ICMLW 2022 Adaptive Interest for Emphatic Reinforcement Learning Martin Klissarov, Rasool Fakoor, Jonas Mueller, Kavosh Asadi, Taesup Kim, Alex Smola

NeurIPSW 2022 RLSBench: A Large-Scale Empirical Study of Domain Adaptation Under Relaxed Label Shift Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton

ICMLW 2021 Multimodal AutoML on Structured Tables with Text Fields Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, Alex Smola

ICML 2019 Deep Factors for Forecasting Yuyang Wang, Alex Smola, Danielle Maddix, Jan Gasthaus, Dean Foster, Tim Januschowski

ICLR 2018 Go for a Walk and Arrive at the Answer: Reasoning over Paths in Knowledge Bases Using Reinforcement Learning Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum

ICML 2018 Learning Steady-States of Iterative Algorithms over Graphs Hanjun Dai, Zornitsa Kozareva, Bo Dai, Alex Smola, Le Song

ICML 2017 Canopy Fast Sampling with Cover Trees Manzil Zaheer, Satwik Kottur, Amr Ahmed, José Moura, Alex Smola

CVPR 2016 Stacked Attention Networks for Image Question Answering Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Smola

ICML 2016 Stochastic Variance Reduction for Nonconvex Optimization Sashank J. Reddi, Ahmed Hefny, Suvrit Sra, Barnabas Poczos, Alex Smola

ICCV 2015 Deep Fried Convnets Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alex Smola, Le Song, Ziyu Wang

ICML 2015 Fast Kronecker Inference in Gaussian Processes with Non-Gaussian Likelihoods Seth Flaxman, Andrew Wilson, Daniel Neill, Hannes Nickisch, Alex Smola

ICML 2015 Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu-Xiang Wang, Stephen Fienberg, Alex Smola

ICML 2014 Randomized Nonlinear Component Analysis David Lopez-Paz, Suvrit Sra, Alex Smola, Zoubin Ghahramani, Bernhard Schoelkopf

ICML 2014 The Falling Factorial Basis and Its Statistical Applications Yu-Xiang Wang, Alex Smola, Ryan Tibshirani

JMLR 2012 Feature Selection via Dependence Maximization Le Song, Alex Smola, Arthur Gretton, Justin Bedo, Karsten Borgwardt

AISTATS 2011 Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text Amr Ahmed, Qirong Ho, Choon Hui Teo, Jacob Eisenstein, Alex Smola, Eric Xing

AISTATS 2010 Collaborative Filtering on a Budget Alexandros Karatzoglou, Alex Smola, Markus Weimer

AISTATS 2009 Hash Kernels Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, Alex Strehl, S. V. N. Vishwanathan

JMLR 2009 Hash Kernels for Structured Data Qinfeng Shi, James Petterson, Gideon Dror, John Langford, Alex Smola, S.V.N. Vishwanathan

AISTATS 2009 Relative Novelty Detection Alex Smola, Le Song, Choon Hui Teo