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/* 300 æ¯ç»ä½ï¼400 æ¯æ£å¸¸ï¼500 æ¯ä¸çç² */ 152 /* å¦æè§å¾é¢è²å¤ªæ·±ï¼ä¹å¯ä»¥é¡ºä¾¿æ¹é¢è² */ 153 /* color: #333; */ 154 } 155</style> 156 157 158 159 160 161<div id="main" role="main"> 162 163 <div class="sidebar sticky"> 164 165 166 167<div itemscope itemtype="https://schema.org/Person" class="h-card"> 168 169 170 <div class="author__avatar"> 171 <a href="https://ying531.github.io/"> 172 <img src="/assets/images/ying-2.jpg" alt="" itemprop="image" class="u-photo"> 173 </a> 174 </div> 175 176 177 <div class="author__content"> 178 <h3 class="author__name p-name" itemprop="name"> 179 <a class="u-url" rel="me" href="https://ying531.github.io/" itemprop="url"></a> 180 </h3> 181 182 <div class="author__bio p-note" itemprop="description"> 183 <p>Assistant Professor @ UPenn Wharton</p> 184 185<p><strong>Contact</strong> <br /> 186yjinstat at wharton.upenn.edu <br /> 187Room 441, Academic Research Building<br /> 188265 South 37th Street, Philadelphia, PA</p> 189 190 </div> 191 192 </div> 193 194 <div class="author__urls-wrapper"> 195 <button class="btn btn--inverse">Follow</button> 196 <ul class="author__urls social-icons"> 197 198 199 200 201 202 <li><a href="mailto:[email protected]" rel="nofollow noopener noreferrer me"><i class="fas fa-fw fa-envelope-square" aria-hidden="true"></i><span class="label">Email</span></a></li> 203 204 205 206 <li><a href="https://ying531.github.io" rel="nofollow noopener noreferrer me" itemprop="sameAs"><i class="fas fa-fw fa-link" aria-hidden="true"></i><span class="label">Website</span></a></li> 207 208 209 210 <li><a href="https://scholar.google.com/citations?user=lT5KFUkAAAAJ&hl=en" rel="nofollow noopener noreferrer me" itemprop="sameAs"><i class="fas fa-graduation-cap" aria-hidden="true"></i><span class="label">Google scholar</span></a></li> 211 212 213 214 <li><a href="/assets/files/cv_yj.pdf" rel="nofollow noopener noreferrer me"><i class="fa fa-book fa-fw" aria-hidden="true"></i><span class="label">Curriculum Vitae</span></a></li> 215 216 217 218 <li><a href="https://github.com/ying531" rel="nofollow noopener noreferrer me" itemprop="sameAs"><i class="fab fa-fw fa-github" aria-hidden="true"></i><span class="label">GitHub</span></a></li> 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 <!-- 272 <li> 273 <a href="http://link-to-whatever-social-network.com/user/" itemprop="sameAs" rel="nofollow noopener noreferrer me"> 274 <i class="fas fa-fw" aria-hidden="true"></i> Custom Social Profile Link 275 </a> 276 </li> 277--> 278 </ul> 279 </div> 280</div> 281 282 283 </div> 284 285 286 287 <div class="archive"> 288 289 <h1 id="page-title" class="page__title">Talks</h1> 290 291 <hr /> 292 293<ul> 294 <li><strong>Act or Defer: Error-Controlled Decision Policies for Medical Foundation Models</strong> 295 <ul> 296 <li><em>Bioinformatics Research Seminar Series, Western University, May 2026</em></li> 297 </ul> 298 </li> 299</ul> 300 301<p><span> </span></p> 302 303<ul> 304 <li><strong>Cross-Balancing for Data-Informed Design and Efficient Analysis of Observational Studies</strong> 305 <ul> 306 <li><em>Pacific Causal Inference Conference (PCIC), July 2026</em></li> 307 </ul> 308 </li> 309</ul> 310 311<p><span> </span></p> 312 313<ul> 314 <li><strong>Conformal Selective Prediction with General Risk Control</strong> 315 <ul> 316 <li><em>Department of Statistics and Probability Seminar, Michigan State University, April 2026</em></li> 317 <li><em>Department of Statistics Seminar, University of Illinois Urbana-Champaign, April 2026</em></li> 318 <li><em>International Chinese Statistical Association (ICSA) Applied Statistics Symposium, June 2026</em></li> 319 <li><em>International Chinese Statistical Association (ICSA) China Conference, June 2026</em></li> 320 <li><em>Joint Conference on Statistics and Data Science (JCSDS), July 2026</em></li> 321 </ul> 322 </li> 323</ul> 324 325<p><span> </span></p> 326 327<ul> 328 <li><strong>Conformal Selection: Distribution-Free Selection of Trusted AI Predictions</strong> 329 <ul> 330 <li><em>Biostatistics/Bioinformatics Seminar, University of Maryland, December 2025</em></li> 331 <li><em>Join Statistical Meetings (IMS Lawrence D. Brown PhD Student Award session), August 2025</em></li> 332 <li><em>Statistics Seminar, Shanghai University of Finance and Economics, July 2025</em></li> 333 <li><em>Statistics Seminar, Fudan University, July 2025</em></li> 334 <li><em>Statistics Seminar, East China Normal University, July 2025</em></li> 335 <li><em>Statistics Seminar, Shanghai Jiao Tong University, July 2025</em></li> 336 <li><em>Institute for Interdisciplinary Information Sciences (IIIS) Seminar, Tsinghua University, July 2025</em></li> 337 </ul> 338 </li> 339</ul> 340 341<p><span> </span></p> 342 343<ul> 344 <li><strong>
344POPPER: Automated Hypothesis Validation with Agentic Sequential Falsifications</strong> 345 <ul> 346 <li><em>ICML Workshop on Statistical Frameworks for Uncertainty in Agentic Systems, July 2026</em></li> 347 <li><em>Summer Program on Large Language Models for Social Science, Columbia University, May-June 2026</em></li> 348 <li><em>IMSI workshop on Reinforcement Learning from Offline Data and Human Feedback, April 2026</em></li> 349 <li><em>International Conference on Econometrics and Statistics (EcoSta 2025), August 2025</em></li> 350 <li><em>Online International Seminar on Selective Inference, April 2025</em></li> 351 <li><em>International Conference on Multiple Comparison Procedures (MCP), August 2025</em></li> 352 <li><em>International Conference on Statistics and Data Science (ICSDS), December 2025</em></li> 353 </ul> 354 </li> 355</ul> 356 357<p><span> </span></p> 358 359<ul> 360 <li><strong>Beyond Reweighting: on the Predictive Role of Covariate Shift in Effect Generalization</strong> 361 <ul> 362 <li><em>Summer Institute in Computational Social Science, University of Pennsylvania, May 2026</em></li> 363 <li><em>Workshop on External Validity in the Social Sciences, Yale University, May 2026</em></li> 364 <li><em>Causality and Machine Learning Workshop, Tsinghua University, January 2026</em></li> 365 <li><em>Joint Conference on Statistics and Data Science, China, July 2025</em></li> 366 <li><em>2025 WNAR/IMS Annual Meeting, June 2025</em></li> 367 <li><em>Harvard Applied Statistics Workshop, September 2024</em></li> 368 </ul> 369 </li> 370</ul> 371 372<p><span> </span></p> 373 374<ul> 375 <li><strong>Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees</strong> 376 <ul> 377 <li><em>International Joint Conference CFE-CMStatistics, December 2025</em></li> 378 <li><em>Join Statistical Meetings (Uncertainty Quantification for Large Language Models), August 2025</em></li> 379 <li><em>ENAR Annual Meeting, March 2025</em></li> 380 <li><em>IMSI Long Program on Uncertainty Quantification and Artifical Intelligence, March 2025</em></li> 381 <li><em>International Conference on Statistics and Data Science (ICSDS), December 2024</em></li> 382 <li><em>ASA Conference on Statistical Learning and Data Science, November 2024</em></li> 383 <li><em>Data Science and Engineering Lab, Michigan State Universty, October 2024</em></li> 384 <li><em>Joint Conference on Statistics and Data Science, China, July 2024</em></li> 385 </ul> 386 </li> 387</ul> 388 389<p><span> </span></p> 390 391<ul> 392 <li><strong>Confidence on the Focal: Conformal Prediction with Selection-Conditional Coverage</strong> 393 <ul> 394 <li><em>Hangzhou International Conference on Frontiers of Data Science, China, July 2024</em></li> 395 </ul> 396 </li> 397</ul> 398 399<p><span> </span></p> 400 401<ul> 402 <li><strong>Diagnosing the Role of Distribution Shift in Effect Generalization with Scientific Replication Data</strong> 403 <ul> 404 <li><em>Joint Statistical Meetings, August 2024</em></li> 405 <li><em>Inaugural Berkeley-Stanford Workshop on Veridical Data Science (lightning talk), May 2024</em></li> 406 <li><em>IMS International Conference on Statistics and Data Science (ICSDS), December 2023</em></li> 407 <li><em>Stanford-Berkeley Joint Colloquium Student Seminar, October 2023</em></li> 408 <li><em>Causality in Practice Conference (Thematic Quarter on Causality), June 2023</em></li> 409 </ul> 410 </li> 411</ul> 412 413<p><span> </span></p> 414 415<ul> 416 <li><strong>Model-Free Selective Inference: From Calibrated Uncertainty to Trusted Decisions</strong> 417 <ul> 418 <li><em>International Conference on Econometrics and Statistics (EcoSta 2024), July 2024</em></li> 419 <li><em>MLBoost Online Seminar, January 2024</em></li> 420 <li><em>Rising Stars in Data Science Workshop, University of Chicago, November 2023</em></li> 421 <li><em>Genentech, September 2023</em></li> 422 <li><em>Joint Statistical Meetings, August 2023</em></li> 423 <li><em>Joint Conference on Statistics and Data Science in China, June 2023</em></li> 424 <li><em>ICSA China Conference, June 2023</em></li> 425 <li><em>INRIA Causal Inference Group, May 2023</em></li> 426 <li><em>International Seminar on Selective Inference (ISSI), May 2023</em> [<a href="https://drive.google.com/file/d/1GLCAxfoc2VbM_rdrxVzqLYGrxumpzdGU/view">video</a>] [<a href="/assets/files/slides_ISSI.pdf">slides</a>]</li> 427 <li><em>International Conference on Design of Experiments (ICODOE), May 2023</em></li> 428 <li><em>One World Mathematics in Machine Learning Online Seminar, April 2023</em> [<a href="https://www.youtube.com/watch?v=YEpvHsHCCvQ">video</a>] [<a href="/assets/files/one_world_selective_conformal_slides.pdf">slides</a>]</li> 429 <li><em>Stanford Statistics Student Seminar, December 2022</em></li> 430 <li><em>Stanford Statistics Industrial Affiliates Annual Conference, November 2022</em></li> 431 </ul> 432 </li> 433</ul> 434 435<p><span> </span></p> 436 437<ul> 438 <li><strong>Policy Learning âwithoutâ Overlap: Pessimism and Generalized Empirical Bernsteinâs Inequality</strong> 439 <ul> 440 <li><em>INFORMS Annual Meeting, October 2024</em></li> 441 <li><em>Clubear Statistics Organization (Virtual Talk), April 2024</em></li> 442 <li><em>INFORMS Optimization Society 443Conference (IOS 2024), March 2024</em></li> 444 <li><em>Workshop on Operations Research and Data Science, Duke University, November 2023</em></li> 445 <li><em>Reinforcement Learning Theory Online Seminars, May 2023</em> [<a href="https://youtu.be/E54sFbD0VaU">video</a>]</li> 446 <li><em>Data-Driven Decision Making Seminar, Stanford Graduate School of Business, January 2023</em></li> 447 </ul> 448 449 <p><span> </span></p> 450 </li> 451 <li><strong>Sensitivity Analysis under the f-Sensitivity Models: A Distributional Robustness Perspective</strong> 452 <ul> 453 <li><em>Stanford Causal Science Conference, November 2022</em></li> 454 <li><em>Data-Driven Decision Making Seminar, Stanford Graduate School of Business, November 2022</em></li> 455 <li><em>ICSA Applied Statistics Symposium (Student Paper Award presentation), June 2022</em></li> 456 </ul> 457 </li> 458</ul> 459 460<p><span> </span></p> 461 462<ul> 463 <li><strong>Sensitivity Analysis of Individual Treatment Effects: A Robust Conformal Inference Approach</strong> 464 <ul> 465 <li><em>UC Berkeley and UCSF Rising Stars Seminar Series (Alaa lab), March 2024</em>.</li> 466 <li><em>CMStatistics (virtual), December 2022</em></li> 467 <li><em>INFORMS Annual Meeting, October 2022</em></li> 468 <li><em>Stanford University Causal Inference Group, January 2022</em></li> 469 </ul> 470 </li> 471</ul> 472 473<p><span> </span></p> 474 475<ul> 476 <li><strong>Towards Optimal Variance Reduction in Online Controlled Experiments</strong> 477 <ul> 478 <li><em>Design and Analysis of Experiments Conference, May 2024</em></li> 479 <li><em>Doordash Causal Inference and Experimentation Team, May 2023</em></li> 480 <li><em>INFORMS Workshop on Data Mining and Decision Analytics, October 2022</em></li> 481 <li><em>International Conference on Design of Experiments (ICODOE), May 2022 (cancelled due to Covid)</em></li> 482 <li><em>Conference on Digital Experimentation (CODE), November 2021</em></li> 483 </ul> 484 </li> 485</ul> 486 487<p><span> </span></p> 488 489<ul> 490 <li><strong>One Estimator, Many Estimands: Fine-Grained Quantification of Uncertainty using Conditional Inference</strong> 491 <ul> 492 <li><em>Joint Statistical Meetings, August 2021</em></li> 493 </ul> 494 </li> 495</ul> 496 497<p><span> </span></p> 498 499<ul> 500 <li><strong>Is Pessimism Provably Efficient for Offline RL?</strong> 501 <ul> 502 <li><em>Reinforcement Learning Theory Online Seminars, April 2021</em> [<a href="/assets/files/slides_pessimism.pdf">slides</a>]</li> 503 </ul> 504 </li> 505</ul> 506 507<!-- <span style="color:#126FB0;">[*Colored are upcoming talks]</span> --> 508 509 </div> 510</div> 511 512 513 </div> 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