Alex Smola - RankMe

35 papers A* 9Journal 20Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Back to Basics: Revisiting ASR in the Age of Voice Agents. CoRR Geeyang Tay, Wentao Ma, Jaewon Lee, Yuzhi Tang, Daniel Lee, Weisu Yin, Dongming Shen, Silin Meng, Yi Zhu, Mu Li, Alex Smola
2025	J	`jnl`	EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge. CoRR Ruskin Raj Manku, Yuzhi Tang, Xingjian Shi, Mu Li, Alex Smola
2025	A*	`conf`	L3Ms - Lagrange Large Language Models. ICLR Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola
2025	J	`jnl`	RPGBENCH: Evaluating Large Language Models as Role-Playing Game Engines. CoRR Pengfei Yu, Dongming Shen, Silin Meng, Jaewon Lee, Weisu Yin, Andrea Yaoyun Cui, Zhenlin Xu, Yi Zhu, Xingjian Shi, Mu Li, Alex Smola
2024	J	`jnl`	L3Ms - Lagrange Large Language Models. CoRR Guneet S. Dhillon, Xingjian Shi, Yee Whye Teh, Alex Smola
2024	J	`jnl`	Multimodal Chain-of-Thought Reasoning in Language Models. Trans. Mach. Learn. Res. Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
2024	A*	`conf`	Time-Varying Propensity Score to Bridge the Gap between the Past and Present. ICLR Rasool Fakoor, Jonas Mueller, Zachary Chase Lipton, Pratik Chaudhari, Alex Smola
2023	A*	`conf`	A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. EMNLP Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
2023	J	`jnl`	A Cheaper and Better Diffusion Language Model with Soft-Masked Noise. CoRR Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang
2023	A*	`conf`	Automatic Chain of Thought Prompting in Large Language Models. ICLR Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
2023	J	`jnl`	Multimodal Chain-of-Thought Reasoning in Language Models. CoRR Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, Alex Smola
2023	A*	`conf`	Parameter-Efficient Fine-Tuning Design Spaces. ICLR Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
2023	J	`jnl`	Parameter-Efficient Fine-Tuning Design Spaces. CoRR Jiaao Chen, Aston Zhang, Xingjian Shi, Mu Li, Alex Smola, Diyi Yang
2023	J	`jnl`	Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition. CoRR Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alex Smola, Xu Sun
2023	A*	`conf`	RLSbench: Domain Adaptation Under Relaxed Label Shift. ICML Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary Chase Lipton
2023	J	`jnl`	RLSbench: Domain Adaptation Under Relaxed Label Shift. CoRR Saurabh Garg, Nick Erickson, James Sharpnack, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2022	J	`jnl`	Automatic Chain of Thought Prompting in Large Language Models. CoRR Zhuosheng Zhang, Aston Zhang, Mu Li, Alex Smola
2022	J	`jnl`	Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition. CoRR Haotao Wang, Aston Zhang, Yi Zhu, Shuai Zheng, Mu Li, Alex Smola, Zhangyang Wang
2021	J	`jnl`	Graph Reordering for Cache-Efficient Near Neighbor Search. CoRR Benjamin Coleman, Santiago Segarra, Anshumali Shrivastava, Alex Smola
2021	J	`jnl`	Mixture Proportion Estimation and PU Learning: A Modern Approach. CoRR Saurabh Garg, Yifan Wu, Alex Smola, Sivaraman Balakrishnan, Zachary C. Lipton
2021	—	`ed.`	Proceedings of the Fourth Conference on Machine Learning and Systems, MLSys 2021, virtual, April 5-9, 2021 MLSys Alex Smola, Alex Dimakis, Ion Stoica
2020	—	`conf`	Elastic Machine Learning Algorithms in Amazon SageMaker. SIGMOD Conference Edo Liberty, Zohar S. Karnin, Bing Xiang, Laurence Rouesnel, Baris Coskun, Ramesh Nallapati, Julio Delgado, Amir Sadoughi, Yury Astashonok, Piali Das, Can Balioglu, Saswata Chakravarty, Madhav Jha, Philip Gautier, David Arpin, Tim Januschowski, Valentin Flunkert, Yuyang Wang, Jan Gasthaus, Lorenzo Stella, Syama Sundar Rangapuram, David Salinas, Sebastian Schelter, Alex Smola
2020	J	`jnl`	Tiering as a Stochastic Submodular Optimization Problem. CoRR Hyokun Yun, Michael Froh, Roshan Makhijani, Brian Luc, Alex Smola, Trishul Chilimbi
2019	A*	`conf`	Deep Factors for Forecasting. ICML Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski
2019	J	`jnl`	Deep Factors for Forecasting. CoRR Yuyang Wang, Alex Smola, Danielle C. Maddix, Jan Gasthaus, Dean P. Foster, Tim Januschowski
2019	A*	`conf`	Recognizing Variables from Their Data via Deep Embeddings of Distributions. ICDM Jonas Mueller, Alex Smola
2019	J	`jnl`	Recognizing Variables from their Data via Deep Embeddings of Distributions. CoRR Jonas Mueller, Alex Smola
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2018	A*	`conf`	Algorithms, Data, Hardware and Tools: A Perfect Storm. KDD Alex Smola
2018	J	`jnl`	Deep Factors with Gaussian Processes for Forecasting. CoRR Danielle C. Maddix, Yuyang Wang, Alex Smola
2018	J	`jnl`	Deep Graphs. CoRR Emmanouil Antonios Platanios, Alex Smola
2018	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning. ICLR (Poster) Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2017	—	`conf`	Go for a Walk and Arrive at the Answer: Reasoning Over Knowledge Bases with Reinforcement Learning. AKBC@NIPS Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, Luke Vilnis, Ishan Durugkar, Akshay Krishnamurthy, Alex Smola, Andrew McCallum
2008	—	`conf`	Combining near-optimal feature selection with gSpan. MLG@ICML Karsten M. Borgwardt, Xifeng Yan, Marisa Thoma, Hong Cheng, Arthur Gretton, Le Song, Alex Smola, Jiawei Han, Philip S. Yu, Hans-Peter Kriegel
2005	—	`conf`	NICTA at TRECVID 2005 Shot Boundary Detection Task. TRECVID Zhenghua Yu, S. V. N. Vishwanathan, Alex Smola