Alicia Y. Tsai

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All published works

Action	Title	Year	Authors
+ PDF Chat	Leveraging LLM Reasoning Enhances Personalized Recommender Systems	2024	Alicia Y. Tsai Adam Kraft Long Jin Chenwei Cai Anahita Hosseini Taibai Xu Zemin Zhang Lichan Hong Ed H. Xinyang Yi
+ PDF Chat	The Extrapolation Power of Implicit Models	2024	Juliette Decugis Alicia Y. Tsai Max Emerling Ashwin Ganesh Laurent El Ghaoui
+ PDF Chat	Leveraging LLM Reasoning Enhances Personalized Recommender Systems	2024	Alicia Y. Tsai Adam Kraft Long Jin Chenwei Cai Anahita Hosseini Taibai Xu Zemin Zhang Lichan Hong Ed H. Xinyang Yi
+	Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm	2022	Alicia Y. Tsai Laurent El Ghaoui
+	State-driven Implicit Modeling for Sparsity and Robustness in Neural Networks	2022	Alicia Y. Tsai Juliette Decugis Laurent El Ghaoui Alper Atamtürk
+	Style Control for Schema-Guided Natural Language Generation	2021	Alicia Y. Tsai Shereen Oraby Vittorio Perera Jiun-Yu Kao Yuheng Du Anjali Narayan-Chen Tagyoung Chung Dilek Hakkani‐Tür
+	Style Control for Schema-Guided Natural Language Generation	2021	Alicia Y. Tsai Shereen Oraby Vittorio Perera Jiun-Yu Kao Yuheng Du Anjali Narayan-Chen Tagyoung Chung Dilek Hakkani‐Tür
+	Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization	2020	Geoffrey Négiar Gideon Dresdner Alicia Y. Tsai Laurent El Ghaoui Francesco Locatello Fabián Pedregosa
+	Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization	2020	Geoffrey Négiar Gideon Dresdner Alicia Y. Tsai Laurent El Ghaoui Francesco Locatello Robert M. Freund Fabián Pedregosa
+	Sparse Optimization for Unsupervised Extractive Summarization of Long Documents with the Frank-Wolfe Algorithm	2020	Alicia Y. Tsai Laurent El Ghaoui
+	Text Analytics for Resilience-Enabled Extreme Events Reconnaissance	2020	Alicia Y. Tsai Selim Günay Minjune Hwang Pengyuan Zhai Chenglong Li Laurent El Ghaoui Khalid M. Mosalam
+	Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization	2020	Geoffrey Négiar Gideon Dresdner Alicia Y. Tsai Laurent El Ghaoui Francesco Locatello Robert M. Freund Fabián Pedregosa
+	Implicit Deep Learning	2019	Laurent El Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai
+	Implicit Deep Learning	2019	Laurent El Ghaoui Fangda Gu Bertrand Travacca Armin Askari Alicia Y. Tsai

Common Coauthors

Coauthor	Papers Together
Laurent El Ghaoui	10
Geoffrey Négiar	3
Francesco Locatello	3
Fabián Pedregosa	3
Chenwei Cai	2
Armin Askari	2
Ed H.	2
Taibai Xu	2
Xinyang Yi	2
Tagyoung Chung	2
Juliette Decugis	2
Gideon Dresdner	2
Vittorio Perera	2
Anahita Hosseini	2
Adam Kraft	2
Fangda Gu	2
Yuheng Du	2
Zemin Zhang	2
Dilek Hakkani‐Tür	2
Lichan Hong	2
Anjali Narayan-Chen	2
Bertrand Travacca	2
Shereen Oraby	2
Robert M. Freund	2
Long Jin	2
Jiun-Yu Kao	1
Khalid M. Mosalam	1
Ashwin Ganesh	1
Alper Atamtürk	1
Max Emerling	1
Gideon Dresdner	1
Jiun-Yu Kao	1
Pengyuan Zhai	1
Minjune Hwang	1
Chenglong Li	1
Selim Günay	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization	2013	Martin Jaggi	2
+	Convex Optimization	2004	Stephen Boyd Lieven Vandenberghe	2
+ PDF Chat	Better Summarization Evaluation with Word Embeddings for ROUGE	2015	Jun-Ping Ng Viktoria Abrecht	1
+ PDF Chat	Effective Approaches to Attention-based Neural Machine Translation	2015	Thang Luong Hieu Pham Christopher D. Manning	1
+ PDF Chat	Semantically Conditioned LSTM-based Natural Language Generation for Spoken Dialogue Systems	2015	Tsung-Hsien Wen Milica Gašić Nikola Mrkšić Pei-Hao Su David Vandyke Steve Young	1
+	A Block Coordinate Descent Method for Regularized Multiconvex Optimization with Applications to Nonnegative Tensor Factorization and Completion	2013	Yangyang Xu Wotao Yin	1
+	Nonlinear Systems Analysis	1980	M. Vidyasagar C. Desoer	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	Some comments on Wolfe's ‘away step’	1986	J Guelat Patrice Marcotte	1
+	The Minimization of a Smooth Convex Functional on a Convex Set	1967	V. F. Demyanov A. M. Rubinov	1
+	Practical Aspects of the Moreau--Yosida Regularization: Theoretical Preliminaries	1997	Claude Lemaréchal Claudia Sagastizábal	1
+	Regression Shrinkage and Selection Via the Lasso	1996	Robert Tibshirani	1
+	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation	2014	Kyunghyun Cho Bart van Merriënboer Çaǧlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio	1
+ PDF Chat	Generalized Low Rank Models	2016	Madeleine Udell Corinne Horn Reza Bosagh Zadeh Stephen Boyd	1
+ PDF Chat	Generating High-Quality and Informative Conversation Responses with Sequence-to-Sequence Models	2017	Yuanlong Shao Stephan Gouws Denny Britz Anna Goldie Brian Strope Ray Kurzweil	1
+	Linear Convergence of Stochastic Frank Wolfe Variants	2017	Donald Goldfarb Garud Iyengar Chaoxu Zhou	1
+ PDF Chat	Understanding adversarial training: Increasing local stability of supervised models through robust optimization	2018	Uri Shaham Yutaro Yamada Sahand Negahban	1
+ PDF Chat	Structured Pruning of Deep Convolutional Neural Networks	2017	Sajid Anwar Kyuyeon Hwang Wonyong Sung	1
+	Sequence-to-Sequence RNNs for Text Summarization	2016	Ramesh Nallapati Bing Xiang Bowen Zhou	1
+ PDF Chat	What makes a good conversation? How controllable attributes affect human judgments	2019	Abigail See Stephen Roller Douwe Kiela Jason Weston	1
+ PDF Chat	Neural Summarization by Extracting Sentences and Words	2016	Jianpeng Cheng Mirella Lapata	1
+	Compression of Neural Machine Translation Models via Pruning	2016	Abigail See Minh-Thang Luong Christopher D. Manning	1
+	Adversarial Machine Learning at Scale	2016	Alexey Kurakin Ian Goodfellow Samy Bengio	1
+	Efficient Summarization with Read-Again and Copy Mechanism	2016	Wenyuan Zeng Wenjie Luo Sanja Fidler Raquel Urtasun	1
+	Delving into Transferable Adversarial Examples and Black-box Attacks	2016	Yanpei Liu Xinyun Chen Chang Liu Dawn Song	1
+	SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents	2016	Ramesh Nallapati Feifei Zhai Bowen Zhou	1
+	The power of sparsity in convolutional neural networks	2017	Soravit Changpinyo Mark Sandler Andrey Zhmoginov	1
+	On the Properties of the Softmax Function with Application in Game Theory and Reinforcement Learning	2017	Bolin Gao Lacra Pavel	1
+ PDF Chat	Get To The Point: Summarization with Pointer-Generator Networks	2017	Abigail See Peter J. Liu Christopher D. Manning	1
+	Exploring Sparsity in Recurrent Neural Networks	2017	Sharan Narang Erich Elsen Gregory Diamos Shubho Sengupta	1
+ PDF Chat	The Limitations of Deep Learning in Adversarial Settings	2016	Nicolas Papernot Patrick McDaniel Somesh Jha Matt Fredrikson Z. Berkay Celik Ananthram Swami	1
+ PDF Chat	Sparse Subspace Clustering: Algorithm, Theory, and Applications	2013	Ehsan Elhamifar René Vidal	1
+	Provable defenses against adversarial examples via the convex outer adversarial polytope	2017	J. Zico Kolter Eric Wong	1
+	Stochastic Conditional Gradient Methods: From Convex Minimization to Submodular Maximization	2018	Aryan Mokhtari Hamed Hassani Amin Karbasi	1
+	Nonlinear Programming	1995	Dimitri P. Bertsekas	1
+	Lifted Neural Networks	2018	Armin Askari Geoffrey Négiar Rajiv Sambharya Laurent El Ghaoui	1
+ PDF Chat	Modeling Empathy and Distress in Reaction to News Stories	2018	Sven Buechel Anneke Buffone Barry Slaff Lyle Ungar João Sedoc	1
+	Semidefinite relaxations for certifying robustness to adversarial examples	2018	Aditi Raghunathan Jacob Steinhardt Percy Liang	1
+	On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models	2018	Sven Gowal Krishnamurthy Dvijotham Robert Stanforth Rudy Bunel Chongli Qin Jonathan Uesato Relja Arandjelović Timothy Mann Pushmeet Kohli	1
+	Frank-Wolfe Algorithm for Exemplar Selection.	2018	Gary Cheng Armin Askari Laurent El Ghaoui Kannan Ramchandran	1
+	Convolutional Neural Networks for Sentence Classification	2014	Yoon Kim	1
+ PDF Chat	Text Generation with Exemplar-based Adaptive Decoding	2019	Hao Peng Ankur P. Parikh Manaal Faruqui Bhuwan Dhingra Dipanjan Das	1
+ PDF Chat	SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents	2017	Ramesh Nallapati Feifei Zhai Bowen Zhou	1
+	SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives	2014	Aaron Defazio Francis Bach Simon Lacoste-Julien	1
+	To prune, or not to prune: exploring the efficacy of pruning for model compression	2017	Michael Zhu Suyog Gupta	1
+	The Difficulty of Training Sparse Neural Networks	2019	Utku Evci Fabian Pedregosa Aidan N. Gomez Erich Elsen	1
+	Findings of the E2E NLG Challenge	2018	Ondřej Dušek Jekaterina Novikova Verena Rieser	1
+	Controlling Linguistic Style Aspects in Neural Language Generation	2017	Jessica Ficler Yoav Goldberg	1
+	Controllable Abstractive Summarization	2018	Angela Fan David Grangier Michael Auli	1
+	Distilling the Knowledge in a Neural Network	2015	Geoffrey E. Hinton Oriol Vinyals Jay B. Dean	1